Bulletin of Experimental Biology and Medicine.
New York Consultants BureauSpringer / Автономная некоммерческая организация Издательство Российской академии медицинских наук.
Vol. 171.
2021.
P. 576-581
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.
Authors
Nikitaev V.G.1
,
Tamrazova O.B.
2
,
Pronichev A.N.1
,
Sergeev V.Y.
3
,
Druzhinina E.A.1
Publisher
Pleiades Publishing
Number of issue
5
Language
English
Pages
861-869
Status
Published
Link
Volume
13
Year
2021
Organizations
- 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
Keywords
atypical pigment network; dermatoscopy; diagnostics of melanoma; digital image processing; segmentation; skeletonization
Date of creation
16.12.2021
Date of change
16.12.2021
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