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

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Cybernetics and Systems Analysis Aims and scope

Abstract

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.

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Authors and Affiliations

  1. Sumy State University, Sumy, Ukraine

    A. S. Dovbysh, I. V. Shelehov, A. M. Romaniuk, R. A. Moskalenko & T. R. Savchenko

Authors
  1. A. S. Dovbysh
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  2. I. V. Shelehov
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  3. A. M. Romaniuk
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  4. R. A. Moskalenko
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  5. T. R. Savchenko
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Correspondence to A. S. Dovbysh.

Additional information

Translated from Kibernetyka ta Systemnyi Analiz, No. 3, May–June, 2023, pp. 157–167

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Dovbysh, A.S., Shelehov, I.V., Romaniuk, A.M. et al. Decision-Making Support System for Diagnosis of Breast Oncopathologies by Histological Images. Cybern Syst Anal 59, 493–502 (2023). https://doi.org/10.1007/s10559-023-00584-0

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  • DOI: https://doi.org/10.1007/s10559-023-00584-0

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