UDC 004.93.1
A DECISION SUPPORT SYSTEM FOR DIAGNOSIS OF BREAST
ONCOPATHOLOGIES BY HISTOLOGICAL IMAGES
Abstract. The authors propose the method of information-extreme machine learning of the decision support system
for diagnosing breast oncopathologies by histological images. In contrast to the available methods, including neuro-like structures, this method was developed as part of a functional approach to modeling cognitive processes of generating and making decisions by natural intelligence. At the same time, the decision rules constructed within the framework of the geometric approach are practically invariant to the multidimensionality of the diagnostic feature space. The developed method allows the creation of information and algorithmic support and software of the automated workplace of a histologist for diagnosing oncopathologies of different genesis.
Keywords: information-extreme machine learning, information criterion of optimization, decision support system, histological image, breast cancer.
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