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JOURNALS // Mathematical Physics and Computer Simulation // Archive

Mathematical Physics and Computer Simulation, 2018 Volume 21, Issue 4, Pages 44–56 (Mi vvgum242)

This article is cited in 5 papers

Modeling, informatics and management

Algorithms for the formation of two-dimensional characteristic and informative signs of diagnosis of diseases of the mammary glands by the methods of combined radio thermometry

A. V. Zenovich, N. A. Baturin, D. A. Medvedev, A. Yu. Petrenko

Volgograd State University

Abstract: Current paper is a part of group project to create a consultative information system that helps doctors to diagnose breast cancer with combined thermometry. For use in diagnostic algorithms, it is necessary to form a space of characteristic and highly informative diagnostic features. This paper outlines three algorithms for constructing two-dimensional features and presents the results of computational experiments that allow one to estimate the sensitivity and specificity of such features. Combining the best pairs of one-dimensional signs, it is possible to obtain the specificity and sensitivity of 70-80 %.

Keywords: microwave radiothermometry, data mining, breast screening, express diagnostics of malignant breast tumors, mammology.

UDC: 004.89
BBK: 55.6

DOI: 10.15688/mpcm.jvolsu.2018.4.4



© Steklov Math. Inst. of RAS, 2024