Decision-Making Support System for Diagnosis of Breast Oncopathologies by Histological Images

The paper proposes a method of information-extreme machine learning of a decision-making support system for diagnosing breast oncopathologies based on histological images. This method, unlike known methods, including neural-like structures, has been developed within the framework of a functional app...

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Bibliographic Details
Published in:Cybernetics and systems analysis 2023-05, Vol.59 (3), p.493-502
Main Authors: Dovbysh, A. S., Shelehov, I. V., Romaniuk, A. M., Moskalenko, R. A., Savchenko, T. R.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Breast cancer
Control
Decision making
Machine learning
Mathematics
Mathematics and Statistics
Medical imaging
Medical imaging equipment
Processor Architectures
Software Engineering/Programming and Operating Systems
Support systems
Systems Theory
Workstations
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Summary:The paper proposes a method of information-extreme machine learning of a decision-making support system for diagnosing breast oncopathologies based on histological images. This method, unlike known methods, including neural-like structures, has been developed within the framework of a functional approach to modeling cognitive processes of generating and making decisions by natural intelligence. At the same time, decision rules constructed using the geometric approach are practically invariant to the multidimensionality of the diagnostic feature space. The developed method makes it possible to create information and algorithmic support and software for an automated workstation of a histologist diagnosing oncopathologies of various origins.
ISSN:1060-0396
1573-8337
DOI:10.1007/s10559-023-00584-0