Technology for automated morphologic analysis of cytological slides. Methods and results

I. Gurevich, D. Kharazishvili, D. Murashov, O. Salvetti, I. Vorobjev

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)

Abstract

The information technology for automated morphologic analysis of the cytological slides, taken from patients with the lymphatic system tumors, was developed. 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.

Original languageEnglish
Article number1699940
Pages (from-to)711-714
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Volume4
DOIs
Publication statusPublished - Dec 1 2006
Event18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China
Duration: Aug 20 2006Aug 24 2006

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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