PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Vorobjev I., Gurevich I. B., Mekhedov I., Nefyodov A., Salvetti O., Trykova A., Harazishvili D. The elements of information technology for cytological specimen image analysis: taxonomy and factor analysis. In: Int. Conf. on 'Pattern recognition and Image Analysis: New (St. Petersburg, 18-23 October 2004). Proceedings, vol. III pp. 966 - 969. Y. Zhuravlev (ed.). St. Petersburg Electrotechnical University, 2004.
 
 
Abstract
(English)
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.
Subject Image processing
Image analysis
Cytological imaging
I.4 Image Processing and Computer Vision
I.5 Pattern Recognition


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