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.
Image Classification Image Mining Computer Vision and Pattern Recognition Descriptive Approach Computer Graphics and Computer-Aided Design
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
Publisher: Distributed by Allen Press,, Lawrence, KS , Stati Uniti d'America
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@article{oai:it.cnr:prodotti:68441,
title = {Descriptive approach to medical image mining. An algorithmic scheme for analysis of cytological specimens},
author = {Gurevich I. B. and Yashina V. and Koryabkina I. and Niemann H. and Salvetti O.},
publisher = {Distributed by Allen Press,, Lawrence, KS , Stati Uniti d'America},
doi = {10.1134/s1054661808040032},
journal = {Pattern recognition and image analysis},
volume = {18},
pages = {542–562},
year = {2008}
}
0000-0002-9539-692X