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.
Image processing Image analysis Cytological imaging
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
Back to previous page
@inproceedings{oai:it.cnr:prodotti:91117,
title = {The elements of information technology for cytological specimen image analysis: taxonomy and factor analysis},
author = {Vorobjev I. A. and Gurevich I. and Mekhedov I. S. and Nefyodov A. and Salvetti O. and Trykova A. A. and Harazishvili D. V.},
booktitle = {7th International Conference on Pattern Recognition and Image Analysis: New Information Technologies, pp. 966–969, St. Petersburg, 18-23 October 2004},
year = {2004}
}
0000-0002-9539-692X