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Model for estimating the heterogeneity of the distribution of globule characteristics in images of skin neoplasms
V. G. Nikitaev,
A. N. Pronichev,
O. B. Tamrazova,
V. Y. Sergeev,
V. Y. Selchuk,
V. S. Kozlov,
A. O. Lim https://doi.org/10.32446/0368-1025it.2021-9-62-67
Abstract
The problem of skin melanoma diagnostics from digital images of the tumor is considered. Clinical algorithms for detecting skin melanoma are briefly described. An overview of the works devoted to the automated assessment of the asymmetry of the distribution of shape, color, area of globules – important signs of melanoma – is given. A model for estimating the heterogeneity of the distribution of the characteristics of globules on digital images in the skin neoplasms diagnosis is developed and models of signs of heterogeneity of this distribution are proposed. The comparative evaluation of the proposed models was carried out experimentally using a software system developed in C++. The most informative features are identified. The greatest accuracy 93 % in estimating the heterogeneity of the distribution of the characteristics of globules was shown by the sign “the reduced inverse of the greatest frequency of occurrence of the measured areas of globules”. The results obtained can be applied in the development of systems to support medical decision-making in the diagnosis of melanoma.
About the Authors
V. G. Nikitaev
National Research Nuclear University “MEPhI” (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
Valentin G. Nikitaev
Moscow
A. N. Pronichev
National Research Nuclear University “MEPhI” (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
Alexandr N. Pronichev
Moscow
O. B. Tamrazova
Russian Peoples' Friendship University
Russian Federation
Russian Federation
Olga B. Tamrazova
Moscow
V. Y. Sergeev
Central State Medical Academy of the Administrative Department of the President of the Russian Federation
Russian Federation
Russian Federation
Vasily Yu. Sergeev
Moscow
V. Y. Selchuk
National Research Nuclear University “MEPhI” (Moscow Engineering Physics Institute);
A. I. Yevdokimov Moscow State University of Medicine and Dentistry
Russian Federation
Russian Federation
Vladimir Yu. Selchuk
Moscow
V. S. Kozlov
National Research Nuclear University “MEPhI” (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
Vladimir S. Kozlov
Moscow
A. O. Lim
National Research Nuclear University “MEPhI” (Moscow Engineering Physics Institute)
Russian Federation
Russian Federation
Alina O. Lim
Moscow
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Review
For citations:
Nikitaev V.G., Pronichev A.N., Tamrazova O.B., Sergeev V.Y., Selchuk V.Y., Kozlov V.S., Lim A.O. Model for estimating the heterogeneity of the distribution of globule characteristics in images of skin neoplasms. Izmeritel`naya Tekhnika. 2021;(9):62-67. (In Russ.) https://doi.org/10.32446/0368-1025it.2021-9-62-67
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