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Segmentation of Images of Skin Neoplasms Using the Active Contour Method

https://doi.org/10.56304/S2079562922030563

Abstract

Computer vision technologies are being actively introduced into modern life, including medical practice. The development of such technologies has led to the emergence of computer systems that allow the detection and classification of skin diseases with a quality comparable and in some cases exceeding human capabilities. The article reveals the method of automatic segmentation, based on dermatoscopic images provided by doctors, obtained using a digital optical device – a dermatoscope. The main goal of the developed model is to identify the neoplasm zone and hyperpigmentation areas in the images of skin neoplasms for further integration into medical decision support systems for the diagnosis of melanoma. As a result of the work carried out, a software package was created that allows segmentation of the neoplasm. As a demonstration of the method, experimental studies of the detection of melanoma boundaries and zones of feature areas in images of skin neoplasms are presented. The developed system can be used for diagnostic research and educational purposes.

About the Authors

A. E. Voronin
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

Moscow, 117198



A. N. Pronichev
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

Moscow, 117198



V. G. Nikitaev
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

Moscow, 117198



M. A. Solomatin
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

Moscow, 117198



T. P. Zanegina
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

Moscow, 117198



I. V. Arkhangelskay
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

Moscow, 117198



A. I. Petukhova
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

Moscow, 117198



P. Yu. Bagnova
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

Moscow, 117198



A. V. Soshnina
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation

Moscow, 117198



O. B. Tamrazova
Peoples' Friendship University of Russia
Russian Federation

Moscow, 117198



V. Yu. Sergeev
Central State Medical Academy of the Presidential Administration of the Russian Federation
Russian Federation

Moscow, 121359



Yu. Yu. Sergeev
Central State Medical Academy of the Presidential Administration of the Russian Federation
Russian Federation

Moscow, 121359



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For citations:


Voronin A.E., Pronichev A.N., Nikitaev V.G., Solomatin M.A., Zanegina T.P., Arkhangelskay I.V., Petukhova A.I., Bagnova P.Yu., Soshnina A.V., Tamrazova O.B., Sergeev V.Yu., Sergeev Yu.Yu. Segmentation of Images of Skin Neoplasms Using the Active Contour Method. Nuclear Physics and Engineering. 2023;14(2):189-193. (In Russ.) https://doi.org/10.56304/S2079562922030563

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ISSN 2079-5629 (Print)
ISSN 2079-5637 (Online)