Published date:Apr 17 2018

Journal Title: KnE Energy

Issue title: The 2nd International Symposium "Physics, Engineering and Technologies for Biomedicine"

Pages:311–316

DOI: 10.18502/ken.v3i2.1828

V G NikitaevVGNikitayev@mephi.ru

M I Davydov

O V Nagornov

V Y Selchuk

A N Pronichev

N N Petrovichev

S M Zaytsev

A I Pavlovskaya

E V Polyakov

D L Rotin

V V Dmitrieva

E A Druzhinina

P Y Korenevskaya

A K Neskreba

The system approach to the development of intellectual complexes in cancer diagnosis are discussed in the article. Distinctive features of this approach: the participation of pathologist at the stage of description of recognizable images (the description is based on traditional assessments of quality informative features of tumors); the set of the most similar probabilistic diagnoses is forming on the classification stage of recognition; final histological diagnosis is made by pathologist. The proposed approach has been successfully tested in clinical practice.

Keywords: image processing, image description, image classification, pattern recognition, qualitative attributes of tumor images, interactive recognition, cancer diagnosis, decision support system

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