2007
Contribution to book
Restricted
Semi-automatic semantic tagging of 3D images from pancreas cells
Little S., Salvetti O., Perner P.
Detailed, consistent semantic annotation of large collections of multimedia data is difficult and time-consuming. In domains such as eScience, digital curation and industrial monitoring, fine-grained high-quality labeling of regions enables advanced semantic querying, analysis and aggregation and supports collaborative research. Manual annotation is inefficient and too subjective to be a viable solution. Automatic solutions are often highly domain or application specific, require large volumes of annotated training corpi and, if using a 'black box' approach, add little to the overall scientific knowledge. This article evaluates the use of simple artificial neural networks to semantically annotate micrographs and discusses the generic process chain necessary for semi-automatic semantic annotation of images.Source: MDA 2006/2007, edited by Petra Perner and Ovidio Salvetti, pp. 69–79, 2007
Little S., Salvetti O., Perner P.
Detailed, consistent semantic annotation of large collections of multimedia data is difficult and time-consuming. In domains such as eScience, digital curation and industrial monitoring, fine-grained high-quality labeling of regions enables advanced semantic querying, analysis and aggregation and supports collaborative research. Manual annotation is inefficient and too subjective to be a viable solution. Automatic solutions are often highly domain or application specific, require large volumes of annotated training corpi and, if using a 'black box' approach, add little to the overall scientific knowledge. This article evaluates the use of simple artificial neural networks to semantically annotate micrographs and discusses the generic process chain necessary for semi-automatic semantic annotation of images.Source: MDA 2006/2007, edited by Petra Perner and Ovidio Salvetti, pp. 69–79, 2007
See at:
www.springerlink.com 
| CNR ExploRA
2007
Contribution to journal
Unknown
Preface - Advances in mass data analysis of signals and images in medicine, biotechnology and chemistry
Perner P., Salvetti O.
The automatic analysis of images and signals in medicine, biotechnology, and chemistry is a challenging and demanding field. Signal-producing procedures by microscopes, spectrometers, and other sensors have found their way into wide fields of medicine, biotechnology, economy, and environmental analysis. With this arises the problem of the automatic mass analysis of signal information. Signal-interpreting systems which generate automatically the desired target statements from the signals are therefore of compelling necessity. The continuation of mass analyses on the basis of classical procedures leads to investments of proportions that are not feasible. New procedures and system architectures are therefore required. The scope of the International Conference on Mass Data Analysis of Images and Signals in Medicine, Biotechnology and Chemistry MDA (www.mda-signals.de) is to bring together researchers, practitioners, and industry people who are dealing with mass analysis of images and signals to present and discuss recent research in these fields.
Perner P., Salvetti O.
The automatic analysis of images and signals in medicine, biotechnology, and chemistry is a challenging and demanding field. Signal-producing procedures by microscopes, spectrometers, and other sensors have found their way into wide fields of medicine, biotechnology, economy, and environmental analysis. With this arises the problem of the automatic mass analysis of signal information. Signal-interpreting systems which generate automatically the desired target statements from the signals are therefore of compelling necessity. The continuation of mass analyses on the basis of classical procedures leads to investments of proportions that are not feasible. New procedures and system architectures are therefore required. The scope of the International Conference on Mass Data Analysis of Images and Signals in Medicine, Biotechnology and Chemistry MDA (www.mda-signals.de) is to bring together researchers, practitioners, and industry people who are dealing with mass analysis of images and signals to present and discuss recent research in these fields.
See at: CNR ExploRA
2008
Conference article
Restricted
Evaluation of feature subset selection, feature weighting, and prototype selection for biomedical applications
Little S., Salvetti O., Perner P.
Many medical diagnosis applications are characterized by datasets that contain under-represented classes due to the fact that the disease appears more rarely than the normal case. In such a situation classifiers that generalize over the data such as decision trees and Naïve Bayesian are not the proper choice as classification methods. Case-based classifiers that can work on the samples seen so far are more appropriate for such a task. We propose to calculate the contingency table and class specific evaluation measures despite the overall accuracy for evaluation purposes of classifiers for these specific data characteristics. We evaluate the different options of our case-based classifier and compare the performance to decision trees and Naïve Bayesian. Finally, we give an outlook for further work.Source: ECCBR 2008 - Advances in Case-Based Reasoning, 9th European Conference, pp. 312–324, Trier, Germany, 1-4 September 2008
DOI: 10.1007/978-3-540-85502-6
Metrics:
Little S., Salvetti O., Perner P.
Many medical diagnosis applications are characterized by datasets that contain under-represented classes due to the fact that the disease appears more rarely than the normal case. In such a situation classifiers that generalize over the data such as decision trees and Naïve Bayesian are not the proper choice as classification methods. Case-based classifiers that can work on the samples seen so far are more appropriate for such a task. We propose to calculate the contingency table and class specific evaluation measures despite the overall accuracy for evaluation purposes of classifiers for these specific data characteristics. We evaluate the different options of our case-based classifier and compare the performance to decision trees and Naïve Bayesian. Finally, we give an outlook for further work.Source: ECCBR 2008 - Advances in Case-Based Reasoning, 9th European Conference, pp. 312–324, Trier, Germany, 1-4 September 2008
DOI: 10.1007/978-3-540-85502-6
Metrics:
See at:
www.springerlink.com | CNR ExploRA
2008
Contribution to conference
Open Access
Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry
Perner P., Salvetti O.
The automatic analysis of signals and images together with the characterization and elaboration of their representation features is still a challenging activity in many relevant scientific and hi-tech fields such as medicine, biotechnology, and chemistry. Multidimensional and multisource signal processing can generate a number of information patterns which can be useful to increase the knowledge of several domains for solving complex problems. Furthermore, advanced signal and image manipulation allows relating specific application problems into pattern recognition problems, often implying also the development of KDD and other computational intelligence procedures. Nevertheless, the amount of data produced by sensors and equipments used in biomedicine, biotechnology and chemistry is usually quite huge and structured, thus strongly pushing the need of investigating advanced models and efficient computational algorithms for automating mass analysis procedures. Accordingly, signal and image understanding approaches able to generate automatically expected outputs become more and more essential, including novel conceptual approaches and system architectures. The purpose of this third edition of the International Conference on Mass Data Analysis of Signals and Images in Medicine, Biotechnology, Chemistry and Food Industry (MDA 2008; www.mda-signals.de) was to present the broad and growing scientific evidence linking mass data analysis with challenging problems in medicine, biotechnology and chemistry. Scientific and engineering experts convened at the workshop to present the current understanding of image and signal processing and interpretation methods useful for facing various medical and biological problems and exploring the applicability and effectiveness of advanced techniques as solutions. The primary goal of the conference was to disseminate this knowledge to a multidisciplinary community and encourage cooperative proactive collaboration in all the interested fields. We were pleased to see that the idea of the conference was taken up by a growing number of researchers and that we could start to bundle the activities in this area. We appreciate the help and understanding of the editorial staff at Springer, and in particular Alfred Hofmann, who supported the publication of these proceedings in the LNAI series. Last, but not least, we wish to thank all the speakers and participants who contributed to the success of the conference. The next International Conferences on Mass Data Analysis of Signals and Images (www.mda-signals.de) will be held in July 2009. We are looking forward to your submissions.
Perner P., Salvetti O.
The automatic analysis of signals and images together with the characterization and elaboration of their representation features is still a challenging activity in many relevant scientific and hi-tech fields such as medicine, biotechnology, and chemistry. Multidimensional and multisource signal processing can generate a number of information patterns which can be useful to increase the knowledge of several domains for solving complex problems. Furthermore, advanced signal and image manipulation allows relating specific application problems into pattern recognition problems, often implying also the development of KDD and other computational intelligence procedures. Nevertheless, the amount of data produced by sensors and equipments used in biomedicine, biotechnology and chemistry is usually quite huge and structured, thus strongly pushing the need of investigating advanced models and efficient computational algorithms for automating mass analysis procedures. Accordingly, signal and image understanding approaches able to generate automatically expected outputs become more and more essential, including novel conceptual approaches and system architectures. The purpose of this third edition of the International Conference on Mass Data Analysis of Signals and Images in Medicine, Biotechnology, Chemistry and Food Industry (MDA 2008; www.mda-signals.de) was to present the broad and growing scientific evidence linking mass data analysis with challenging problems in medicine, biotechnology and chemistry. Scientific and engineering experts convened at the workshop to present the current understanding of image and signal processing and interpretation methods useful for facing various medical and biological problems and exploring the applicability and effectiveness of advanced techniques as solutions. The primary goal of the conference was to disseminate this knowledge to a multidisciplinary community and encourage cooperative proactive collaboration in all the interested fields. We were pleased to see that the idea of the conference was taken up by a growing number of researchers and that we could start to bundle the activities in this area. We appreciate the help and understanding of the editorial staff at Springer, and in particular Alfred Hofmann, who supported the publication of these proceedings in the LNAI series. Last, but not least, we wish to thank all the speakers and participants who contributed to the success of the conference. The next International Conferences on Mass Data Analysis of Signals and Images (www.mda-signals.de) will be held in July 2009. We are looking forward to your submissions.
See at:
link.springer.com 
| CNR ExploRA
2008
Contribution to journal
Open Access
Human-Activity Analysis in Multimedia Data
Salvetti O., Cetin E. A., Pauwels E.
Many important applications in multimedia revolve around the detection of humans and the interpretation of their behavior. These include surveillance and intrusion detection, video conferencing applications, assisted living applications, and automatic analysis of sports videos, broadcasts, and movies, to name just a few. Success in these tasks often requires the integration of various sensor or data modalities such as video, audio, motion, and accompanying text, and typically hinges on a host of machine-learning methodologies to handle the inherent variability and complexity of the ensuing features. The computational efficiency of the resulting algorithms is critical since the amount of data to be processed in multimedia applications is typically large, and in real-time systems, speed is of the essence. There have been several recent special issues dealing with the dection of humans and the analysis of their activity relying solely on video footage. In this special issue, we have tried to provide a platform to contributions that make use of a broader spectrum of multimedia information, complementing video with audio or text information as well as other types of sensor signals, whenever available. The first group of papers in the special issue addresses the joint use of audio and video data. The paperDOI: 10.1155/2008/293453
Metrics:
Salvetti O., Cetin E. A., Pauwels E.
Many important applications in multimedia revolve around the detection of humans and the interpretation of their behavior. These include surveillance and intrusion detection, video conferencing applications, assisted living applications, and automatic analysis of sports videos, broadcasts, and movies, to name just a few. Success in these tasks often requires the integration of various sensor or data modalities such as video, audio, motion, and accompanying text, and typically hinges on a host of machine-learning methodologies to handle the inherent variability and complexity of the ensuing features. The computational efficiency of the resulting algorithms is critical since the amount of data to be processed in multimedia applications is typically large, and in real-time systems, speed is of the essence. There have been several recent special issues dealing with the dection of humans and the analysis of their activity relying solely on video footage. In this special issue, we have tried to provide a platform to contributions that make use of a broader spectrum of multimedia information, complementing video with audio or text information as well as other types of sensor signals, whenever available. The first group of papers in the special issue addresses the joint use of audio and video data. The paperDOI: 10.1155/2008/293453
Metrics:
See at:
EURASIP Journal on Advances in Signal Processing | EURASIP Journal on Advances in Signal Processing | EURASIP Journal on Advances in Signal Processing | link.springer.com | CNR ExploRA
2010
Contribution to book
Restricted
Advanced Infrared Technology and Applications
Abbozzo Ronchi L., Carlomagno G. M., Corsi C., Grinzato E., Pippi I., Salvetti O.
This special issue of the Journal of Modern Optics contains extended versions of selected papers accepted and presented at the 10th International Workshop on Advanced Infrared Technology and Applications held on 8-11 September 2009 at the Astronomy and Space Science Department of the University of Florence, Italy. The workshop - an event in a biennial series of meetings that started in 1991, and organised by Fondazione 'Giorgio Ronchi' (Florence), the Institutes of Information Science and Technologies 'Alessandro Faedo' (Pisa), Construction Technologies (Padova), Applied Physics 'Nello Carrara' (Florence) of the Italian National Research Council and the CREO Consortium, L'Aquila - constitutes a forum for bringing together academic and industrial researchers to exchange knowledge, ideas and experiences in the field of infrared (IR) science and technology. The main topics of the workshop included, in particular, advanced technology and materials, smart and fibre-optic sensors, aerospace and industrial applications, astronomy and earth monitoring, nondestructive tests and evaluation, systems for cultural heritage, near-, mid-, and long-wavelength systems, and image processing and data analysis. This special issue includes 17 papers that discuss scientific and technological aspects related to a few of these areas.Source: Boca Raton: Taylor & Francis, 2010
DOI: 10.1080/09500340.2010.527708
Metrics:
Abbozzo Ronchi L., Carlomagno G. M., Corsi C., Grinzato E., Pippi I., Salvetti O.
This special issue of the Journal of Modern Optics contains extended versions of selected papers accepted and presented at the 10th International Workshop on Advanced Infrared Technology and Applications held on 8-11 September 2009 at the Astronomy and Space Science Department of the University of Florence, Italy. The workshop - an event in a biennial series of meetings that started in 1991, and organised by Fondazione 'Giorgio Ronchi' (Florence), the Institutes of Information Science and Technologies 'Alessandro Faedo' (Pisa), Construction Technologies (Padova), Applied Physics 'Nello Carrara' (Florence) of the Italian National Research Council and the CREO Consortium, L'Aquila - constitutes a forum for bringing together academic and industrial researchers to exchange knowledge, ideas and experiences in the field of infrared (IR) science and technology. The main topics of the workshop included, in particular, advanced technology and materials, smart and fibre-optic sensors, aerospace and industrial applications, astronomy and earth monitoring, nondestructive tests and evaluation, systems for cultural heritage, near-, mid-, and long-wavelength systems, and image processing and data analysis. This special issue includes 17 papers that discuss scientific and technological aspects related to a few of these areas.Source: Boca Raton: Taylor & Francis, 2010
DOI: 10.1080/09500340.2010.527708
Metrics:
See at: CNR ExploRA
2002
Journal article
Unknown
A web site for the "Giorgio Ronchi" foundation
Galligani A., Salvetti O.
This paper describes the main aspects of the Web Site designed and realized for the "Giorgio Ronchi" Foundation at the lnstitute of· lnfornation Processing of the Italian National Research Council,, in Pisa. The site is accessible remotely via network, allows connecting on-line the Foundation Library and it offers an actual and efficient instrument for giving worldwide knowledge about the Foundation and its activity.Source: Atti della Fondazione Giorgio Ronchi (1976) LVII (2002): 195–208.
Galligani A., Salvetti O.
This paper describes the main aspects of the Web Site designed and realized for the "Giorgio Ronchi" Foundation at the lnstitute of· lnfornation Processing of the Italian National Research Council,, in Pisa. The site is accessible remotely via network, allows connecting on-line the Foundation Library and it offers an actual and efficient instrument for giving worldwide knowledge about the Foundation and its activity.Source: Atti della Fondazione Giorgio Ronchi (1976) LVII (2002): 195–208.
See at: CNR ExploRA
2002
Journal article
Restricted
A Web-based resource discovery facility for a Geo-Data Server
Galligani A., Salvetti O.
This article deals with the design of a resource discovery system, based on a Web interface, for searching and downloading data stored in a Geo-Data Server. The main features of the Geo-Data Server are the design of a cartographic and image database, following international standards, a relational catalogue, containing meta-information on the archived data, and a high-level interface to access the system. The Geo-Data Server implements a distributed system where data are appropriately organised for remote consultation.Source: Electronic geosciences 7 (2002): 1–10. doi:10.1007/s10069-002-0003-5
DOI: 10.1007/s10069-002-0003-5
Metrics:
Galligani A., Salvetti O.
This article deals with the design of a resource discovery system, based on a Web interface, for searching and downloading data stored in a Geo-Data Server. The main features of the Geo-Data Server are the design of a cartographic and image database, following international standards, a relational catalogue, containing meta-information on the archived data, and a high-level interface to access the system. The Geo-Data Server implements a distributed system where data are appropriately organised for remote consultation.Source: Electronic geosciences 7 (2002): 1–10. doi:10.1007/s10069-002-0003-5
DOI: 10.1007/s10069-002-0003-5
Metrics:
See at:
Visual Geosciences | CNR ExploRA
2006
Journal article
Unknown
HEARTFAID: a knowledge based platform for supporting the clinical management of elderly patients with heart failure
Conforti D., Costanzo D., Lagani V., Perticone F., Parati G., Kawecka-Jaszcz K., Marsh A., Biniaris C., Stratakis M., Fontanelli R., Guerri D., Salvetti O., Tsiknakis M., Chiarugi F., Gamberger D., Valentini M.
Chronic heart failure is a major health problem in many developed countries with strong social and economic effects due to its prevalence and morbidity. These effects occur particularly in the elderly who have frequent hospital admissions and utilise significant medical resources. Studies and data have demonstrated that evidence-based heart failure management programs utilising appropriate integration of inpatient and outpatient clinical services, have the potential to prevent and reduce hospital admissions, improve clinical status and reduce healthcare costs. HEARTFAID is a research and development project aimed at creating and validating an innovative knowledge-based platform to improve the early diagnosis and effective management of heart failure. The core of the platform is formalisation of pre-existing clinical knowledge and the discovery of new elicited knowledge. HEARTFAID has been designed to improve the processes of diagnosis, prognosis and therapy by providing the following services: Electronic health records for easy and ubiquitous access to heterogeneous patient data Integrated services for healthcare professionals, including patient telemonitoring, signal and image processing, alert and alarm systems Clinical decision support, based on pattern recognition in historical data, knowledge discovery analysis and inference from patients' clinical data.Source: The journal on information technology in healthcare 4 (2006): 283–300.
Conforti D., Costanzo D., Lagani V., Perticone F., Parati G., Kawecka-Jaszcz K., Marsh A., Biniaris C., Stratakis M., Fontanelli R., Guerri D., Salvetti O., Tsiknakis M., Chiarugi F., Gamberger D., Valentini M.
Chronic heart failure is a major health problem in many developed countries with strong social and economic effects due to its prevalence and morbidity. These effects occur particularly in the elderly who have frequent hospital admissions and utilise significant medical resources. Studies and data have demonstrated that evidence-based heart failure management programs utilising appropriate integration of inpatient and outpatient clinical services, have the potential to prevent and reduce hospital admissions, improve clinical status and reduce healthcare costs. HEARTFAID is a research and development project aimed at creating and validating an innovative knowledge-based platform to improve the early diagnosis and effective management of heart failure. The core of the platform is formalisation of pre-existing clinical knowledge and the discovery of new elicited knowledge. HEARTFAID has been designed to improve the processes of diagnosis, prognosis and therapy by providing the following services: Electronic health records for easy and ubiquitous access to heterogeneous patient data Integrated services for healthcare professionals, including patient telemonitoring, signal and image processing, alert and alarm systems Clinical decision support, based on pattern recognition in historical data, knowledge discovery analysis and inference from patients' clinical data.Source: The journal on information technology in healthcare 4 (2006): 283–300.
See at: CNR ExploRA
2006
Journal article
Restricted
Elements of the information technology of cytological specimen analysis: taxonomy and factor analysis
Gurevich I., Harazishvili D., Salvetti O., Trykova A., Vorob'Ev I.
The automated software systemSource: Pattern recognition and image analysis 16 (2006): 113–115.
Gurevich I., Harazishvili D., Salvetti O., Trykova A., Vorob'Ev I.
The automated software systemSource: Pattern recognition and image analysis 16 (2006): 113–115.
See at:
springerlink.metapress.com | CNR ExploRA
2007
Journal article
Unknown
A new measure on intuitionistic fuzzy set using Hausdorff metric and its application to edge detection
Tamalika C., Swades D., Salvetti O.
Intuitionistic fuzzy set (IFS) proposed by Attanassov has gained much importance to the researchers for its application in various fields such as pattern recognition. It takes into account the membership, non-membership function also another term hesitation degree. Hesitation degree is the lack of knowledge in assigning the membership function. In particular, the similarity measure between IFSs has increased its interest and several algorithms have been developed. In this paper a new method for measuring the distance between two intuitionistic fuzzy sets based on Hausdorff metric is proposed. The distance measure is the intuitionistic fuzzy divergence using Hausdorff metric. Our proposed method has been applied in image processing in detecting the edges of different kinds of practical images, demonstrating to be a tool for processing monochrome images.Source: International journal of fuzzy mathematics and systems 15 (2007): 1–16.
Tamalika C., Swades D., Salvetti O.
Intuitionistic fuzzy set (IFS) proposed by Attanassov has gained much importance to the researchers for its application in various fields such as pattern recognition. It takes into account the membership, non-membership function also another term hesitation degree. Hesitation degree is the lack of knowledge in assigning the membership function. In particular, the similarity measure between IFSs has increased its interest and several algorithms have been developed. In this paper a new method for measuring the distance between two intuitionistic fuzzy sets based on Hausdorff metric is proposed. The distance measure is the intuitionistic fuzzy divergence using Hausdorff metric. Our proposed method has been applied in image processing in detecting the edges of different kinds of practical images, demonstrating to be a tool for processing monochrome images.Source: International journal of fuzzy mathematics and systems 15 (2007): 1–16.
See at: CNR ExploRA
2008
Journal article
Restricted
Descriptive approach to medical image mining. An algorithmic scheme for analysis of cytological specimens
Gurevich I. B., Yashina V., Koryabkina I., Niemann H., Salvetti O.
The present paper is devoted the development and formal representation of a descriptive model for an information technology to automate the morphological analysis of cytologic preparations (a tumor of the lymphatic system). The theoretical basis of the model is a descriptive approach to image analysis and understanding and its main mathematical tools. Practical application of the algebraic tools of the descriptive approach is demonstrated, and the algorithmic scheme of the technology is described in the language of descriptive image algebras.Source: Pattern recognition and image analysis 18 (2008): 542–562. doi:10.1134/S1054661808040032
DOI: 10.1134/s1054661808040032
Metrics:
Gurevich I. B., Yashina V., Koryabkina I., Niemann H., Salvetti O.
The present paper is devoted the development and formal representation of a descriptive model for an information technology to automate the morphological analysis of cytologic preparations (a tumor of the lymphatic system). The theoretical basis of the model is a descriptive approach to image analysis and understanding and its main mathematical tools. Practical application of the algebraic tools of the descriptive approach is demonstrated, and the algorithmic scheme of the technology is described in the language of descriptive image algebras.Source: Pattern recognition and image analysis 18 (2008): 542–562. doi:10.1134/S1054661808040032
DOI: 10.1134/s1054661808040032
Metrics:
See at:
Pattern Recognition and Image Analysis | www.springerlink.com | CNR ExploRA
2004
Conference article
Unknown
The elements of information technology for cytological specimen image analysis: taxonomy and factor analysis
Vorobjev I. A., Gurevich I., Mekhedov I. S., Nefyodov A., Salvetti O., Trykova A. A., Harazishvili D. V.
The investigations are described concerning design of automated systems of hematopoietic tumors diagnostics. The elements of information technology for automation of diagnostic analysis of cytological specimen, such as taxonomy and factor analysis are considered. The results of testing the stability of the used methods for the larger size of learning sample are given. The usefulness of the proposed methods for discriminating patients with different types of tumor is empirically justified.Source: 7th International Conference on Pattern Recognition and Image Analysis: New Information Technologies, pp. 966–969, St. Petersburg, 18-23 October 2004
Vorobjev I. A., Gurevich I., Mekhedov I. S., Nefyodov A., Salvetti O., Trykova A. A., Harazishvili D. V.
The investigations are described concerning design of automated systems of hematopoietic tumors diagnostics. The elements of information technology for automation of diagnostic analysis of cytological specimen, such as taxonomy and factor analysis are considered. The results of testing the stability of the used methods for the larger size of learning sample are given. The usefulness of the proposed methods for discriminating patients with different types of tumor is empirically justified.Source: 7th International Conference on Pattern Recognition and Image Analysis: New Information Technologies, pp. 966–969, St. Petersburg, 18-23 October 2004
See at: CNR ExploRA
2005
Conference article
Unknown
Automation of preliminary histological diagnostics of oncological diseases
Belotserkovsky A., Nedzved A., Ablameyko S., Gurevich I., Salvetti O.
Source: International Conference on Advanced Information and Telemedicine Technologies, AITTH-2005, Minsk, 2005
Belotserkovsky A., Nedzved A., Ablameyko S., Gurevich I., Salvetti O.
Source: International Conference on Advanced Information and Telemedicine Technologies, AITTH-2005, Minsk, 2005
See at: CNR ExploRA
2006
Conference article
Unknown
Support for the medical-clinical management of heart failure within elderly population: the HEARTFAID platform
Chiarugi F., Tsiknakis M., Conforti D., Lagani V., Perticone F., Parati G., Kawecka-Jaszcz K., Marsh A., Stratakis M., Di Bona S., Fontanelli R., Guerri D., Salvetti O., Gamberger D., Valentini M.
Chronic heart failure, one of the most remarkable health problems due to its prevalence and morbidity especially in the western world, is characterised by a strong socioeconomic impact. Recent studies demonstrate that accurate heart failure (HF) management programs, based on coordinated inpatient and outpatient clinical procedures, might prevent and reduce hospital admissions, improving clinical outcome and reducing costs.Source: ITAB 2006, Ioannina Greece, 26-28/10/2006
Chiarugi F., Tsiknakis M., Conforti D., Lagani V., Perticone F., Parati G., Kawecka-Jaszcz K., Marsh A., Stratakis M., Di Bona S., Fontanelli R., Guerri D., Salvetti O., Gamberger D., Valentini M.
Chronic heart failure, one of the most remarkable health problems due to its prevalence and morbidity especially in the western world, is characterised by a strong socioeconomic impact. Recent studies demonstrate that accurate heart failure (HF) management programs, based on coordinated inpatient and outpatient clinical procedures, might prevent and reduce hospital admissions, improving clinical outcome and reducing costs.Source: ITAB 2006, Ioannina Greece, 26-28/10/2006
See at: CNR ExploRA
2006
Conference article
Unknown
Technology for automated morphologic analysis of cytological slides. Methods and results
Gurevich I., Kharazishvili D., Murashov D., Salvetti O., Trykova A., Vlasova V., Vorobjev I.
The information technology for automated mor-phologic analysis of the cytological slides, taken from patients with the lymphatic system tumors, was devel-oped. The main components of the technology are: acquisition of cytological slides, method for segmenta-tion of nuclei in the cytological slides, synthesis of the feature based nuclei description for subsequent classi-fication, nuclei image analysis based on pattern rec-ognition and scale-space techniques. The experiments confirmed efficiency of the developed technology. The discussion of the obtained results is given. The devel-oped technology is implemented in the software system.Source: International Conference on Pattern Recognition, ICPR 2006, Hong Kong, 20-24/08/2006
Gurevich I., Kharazishvili D., Murashov D., Salvetti O., Trykova A., Vlasova V., Vorobjev I.
The information technology for automated mor-phologic analysis of the cytological slides, taken from patients with the lymphatic system tumors, was devel-oped. The main components of the technology are: acquisition of cytological slides, method for segmenta-tion of nuclei in the cytological slides, synthesis of the feature based nuclei description for subsequent classi-fication, nuclei image analysis based on pattern rec-ognition and scale-space techniques. The experiments confirmed efficiency of the developed technology. The discussion of the obtained results is given. The devel-oped technology is implemented in the software system.Source: International Conference on Pattern Recognition, ICPR 2006, Hong Kong, 20-24/08/2006
See at: CNR ExploRA
2002
Conference article
Unknown
Un sistema Web per la ricerca di informazioni geografiche in database di metadati
Castorina M., Galligani A., Salvetti O.
An abstract is not availableSource: Quarta Conferenza di MondoGIS, pp. 613–616, Rome, Italy, 22-24/05/2002
Castorina M., Galligani A., Salvetti O.
An abstract is not availableSource: Quarta Conferenza di MondoGIS, pp. 613–616, Rome, Italy, 22-24/05/2002
See at: CNR ExploRA
2007
Conference article
Unknown
Intellectual system of diseases early detection on the basis of the computer analysis of erythrocytes electron images
Radievski V., Jaliabova N., Khachidze M., Radievski D., Gurevich I., Salvetti O.
The problem of the diseases early detection basing on the computer analysis and on the recognition of the form of the erythrocytes image is considered. The erythrocytes image processing is carried out, and the features, on the basis of which their recognition and, consequently, the diseases diagnostic are carried out, are distinguished. The algorithms of processing and recognition of erythrocytes image are developed.Source: Information Technologies in Control, pp. 265–269, Tbilisi, Georgia, 10-12 October 2007
Radievski V., Jaliabova N., Khachidze M., Radievski D., Gurevich I., Salvetti O.
The problem of the diseases early detection basing on the computer analysis and on the recognition of the form of the erythrocytes image is considered. The erythrocytes image processing is carried out, and the features, on the basis of which their recognition and, consequently, the diseases diagnostic are carried out, are distinguished. The algorithms of processing and recognition of erythrocytes image are developed.Source: Information Technologies in Control, pp. 265–269, Tbilisi, Georgia, 10-12 October 2007
See at: CNR ExploRA
2007
Conference article
Unknown
Intuitionistic Fuzzy C means algorithm in medical image segmentation
Chaira T., De S., Salvetti O.
This paper presents a novel intuitionistic fuzzy C means clustering method using intuitionistic fuzzy set theory. This clustering method has also been used for identification of mammogram cysts. In this method, the hesitation degree has been taken into account along with the membership degree, where the cluster centers may converge to a desirable location than the cluster centers obtained by fuzzy C means algorithm. Experimental results on mammogram images show the effectiveness of the proposed method in contrast to existing fuzzy C means algorithms.Source: International Conference on Advances in Pattern Recognition -I CAPR 2007, Kolkata, India, 2-4 January 2007
Chaira T., De S., Salvetti O.
This paper presents a novel intuitionistic fuzzy C means clustering method using intuitionistic fuzzy set theory. This clustering method has also been used for identification of mammogram cysts. In this method, the hesitation degree has been taken into account along with the membership degree, where the cluster centers may converge to a desirable location than the cluster centers obtained by fuzzy C means algorithm. Experimental results on mammogram images show the effectiveness of the proposed method in contrast to existing fuzzy C means algorithms.Source: International Conference on Advances in Pattern Recognition -I CAPR 2007, Kolkata, India, 2-4 January 2007
See at: CNR ExploRA
2007
Conference article
Unknown
Nuclei images analysis: technology, diagnostic feature and experimental study
Gurevich I., Murashov D., Salvetti O., Niemann H.
The information technology for automated morphologic analysis of the cytological slides, taken from patients with the lymphatic system tumours, was developed. The main contributions of the paper are the technology, the set of features for representation of nuclei images in pattern recognition problems (automated diagnostics), and experimental study of the technology and the features informativeness. The main components of the technology are: acquisition of cytological slides, method for segmentation of nuclei in the cytological slides, synthesis of the feature based nuclei description for subsequent classification, nuclei image analysis based on pattern recognition and scale-space techniques. The experiments confirmed efficiency of the developed technology. The discussion of the obtained results is given. The developed technology is implemented in the software system.Source: 2nd International Conference on Computer Vision Theory and Applications, pp. 204–210, Barcelona, Spain, 8-11 March 2007
Gurevich I., Murashov D., Salvetti O., Niemann H.
The information technology for automated morphologic analysis of the cytological slides, taken from patients with the lymphatic system tumours, was developed. The main contributions of the paper are the technology, the set of features for representation of nuclei images in pattern recognition problems (automated diagnostics), and experimental study of the technology and the features informativeness. The main components of the technology are: acquisition of cytological slides, method for segmentation of nuclei in the cytological slides, synthesis of the feature based nuclei description for subsequent classification, nuclei image analysis based on pattern recognition and scale-space techniques. The experiments confirmed efficiency of the developed technology. The discussion of the obtained results is given. The developed technology is implemented in the software system.Source: 2nd International Conference on Computer Vision Theory and Applications, pp. 204–210, Barcelona, Spain, 8-11 March 2007
See at: CNR ExploRA