Automated Analysis of the Pigment Network in Dermatoscopic Images of Melanocytic Skin Tumors

A method for recognition of the pigment network lines in dermatoscopic images of skin tumors is presented. The method provides calculation of characteristics of the pigment network lines and imaging of the obtained results. Experimental assessment of the effectiveness of the proposed method showed it to be promising for use in melanoma recognition systems. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

Авторы
Nikitaev V.G.1 , Pronichev A.N.1 , Tamrazova O.B. 2 , Sergeev V.Y.3 , Sergeev Y.Y.4 , Kozyreva A.V.1 , Polyakov E.V.1 , Druzhinina E.A.1
Журнал
Biomedical Engineering
Издательство
Springer New York LLC
Номер выпуска
4
Язык
Английский
Страницы
254-257
Статус
Опубликовано
Ссылка
Внешняя ссылка
DOI
10.1007/S10527-019-09920-1
Том
53
Год
2019
Организации
  • 1 National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation
  • 2 Peoples’ Friendship University of Russia, Moscow, Russian Federation
  • 3 Dermatological Research Center, Moscow, Russian Federation
  • 4 Society for Dermatoscopy and Optical Diagnostics of Skin, Moscow, Russian Federation
Ключевые слова
Engineering; Industrial engineering; Automated analysis; Experimental assessment; Recognition systems; Skin tumor; Tumors; algorithm; Article; binarization algorithm; epiluminescence microscopy; histogram; human; image analysis; melanoma; pigment network; priority journal; skin pigmentation; skin tumor; Zhang Suen algorithm
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