Geodesic
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
Matematičeskaâ fizika i kompʹûternoe modelirovanie, Tome 21 (2018) no. 4, pp. 44-56 Cet article a éte moissonné depuis la source Math-Net.Ru

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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. 
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     author = {A. V. Zenovich and N. A. Baturin and D. A. Medvedev and A. Yu. Petrenko},
     title = {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},
     journal = {Matemati\v{c}eska\^a fizika i kompʹ\^uternoe modelirovanie},
     pages = {44--56},
     year = {2018},
     volume = {21},
     number = {4},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VVGUM_2018_21_4_a3/}
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A. V. Zenovich; N. A. Baturin; D. A. Medvedev; A. Yu. Petrenko. 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. Matematičeskaâ fizika i kompʹûternoe modelirovanie, Tome 21 (2018) no. 4, pp. 44-56. http://geodesic.mathdoc.fr/item/VVGUM_2018_21_4_a3/

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