Colantonio S., Di Bono M. G., Salvetti O.
I.5.2 Design Methodology I.5.1 Models I.4.8 Scene Analysis H.3.3 Information Search and Retrieval C.3 Special-Purpose and Application-Based Systems
A methodology to approach the automatic monitoring and prognosis of diseases evolution is proposed. We define a multilevel system architecture capable to process multi-source biomedical data according to a coarse-to-fine paradigm. An application regarding neuro-signals and image categorization is also considered as a case study. The proposed methodology even preliminary has shown to be a possible approach to prognosis activity, mainly if suitably integrated into a hybrid system for medical decision support.
Source: Advanced Information and Telemedicine Technologies for Health, pp. 66, Minsk, November 8-10, 2005
@inproceedings{oai:it.cnr:prodotti:91185,
title = {Disease evolution prognosis based on multi-source signals and image analysis},
author = {Colantonio S. and Di Bono M. G. and Salvetti O.},
booktitle = {Advanced Information and Telemedicine Technologies for Health, pp. 66, Minsk, November 8-10, 2005},
year = {2005}
}