A Model for Recognition of Dermatoscopic Points in Images of Skin Neoplasms

The challenges of using computer diagnostics to seek structural elements of melanocytic neoplasms, including cutaneous melanomas at early stages of their development, are discussed. The characteristic features of the structural elements — dermatoscopic points — are also considered. A computer vision technique for recognizing these characteristic features is presented. The developed interdisciplinary approach can be used in the diagnosis of oncological diseases of the skin as a means of supporting decision making for the primary prevention of malignant neoplasms. © 2021, Springer Science+Business Media, LLC, part of Springer Nature.

Authors
Nikitaev V.G.1 , Pronichev A.N.1 , Tamrazova O.B. 2 , Sergeev V.Y. 3 , Solomatin M.A.1 , Kruglova L.S. 3 , Kozlov V.S.1 , Druzhinina E.A.1
Journal
Biomedical Engineering
Publisher
Springer New York LLC
Number of issue
2
Language
English
Pages
112-115
Status
Published
Link
External link
DOI
10.1007/s10527-021-10082-2
Volume
55
Year
2021
Organizations
  • 1 National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation
  • 2 Peoples’ Friendship University of Russia, Moscow, Russian Federation
  • 3 Central State Medical Academy, Directorate of the President of the Russian Federation, Moscow, Russian Federation
Keywords
Decision making; Diagnosis; Computer vision techniques; Oncological disease; Structural elements; Tumors; algorithm; Article; epiluminescence microscopy; image segmentation; melanoma; noise reduction; skin tumor
Date of creation
16.12.2021
Date of change
16.12.2021
Short link
https://repository.rudn.ru/en/records/article/record/76765/
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