Algorithm for the Analysis of Pigment Network Characteristics in Diagnosing Melanoma

Abstract: An algorithm for analyzing the characteristics of the pigment network of skin neoplasms is proposed. It is based on the assessment of the deviation coefficient of the average lengths of the pigment network segments in the local areas of the neoplasm from the average value of the lengths of the pigment network segments throughout the area of the neoplasm. The use of the algorithm makes it possible to distinguish the typical pigment network from an atypical one. An atypical pigment network is a core feature in identifying early melanoma. The algorithm can be used in automated systems to support medical decision-making in the diagnosis of skin neoplasms. © 2021, Pleiades Publishing, Ltd.

Авторы
Nikitaev V.G.1 , Tamrazova O.B. 2 , Pronichev A.N.1 , Sergeev V.Y. 3 , Druzhinina E.A.1
Издательство
Pleiades Publishing
Номер выпуска
5
Язык
Английский
Страницы
861-869
Статус
Опубликовано
Том
13
Год
2021
Организации
  • 1 National Research Nuclear University MEPhI, Moscow, 115409, Russian Federation
  • 2 Peoples’ Friendship University of Russia, Moscow, Russian Federation
  • 3 Central State Medical Academy of the Administrative Department of the President of the Russian Federation, Moscow, Russian Federation
Ключевые слова
atypical pigment network; dermatoscopy; diagnostics of melanoma; digital image processing; segmentation; skeletonization
Дата создания
16.12.2021
Дата изменения
16.12.2021
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/76643/
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