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.

Authors
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
Journal
Biomedical Engineering
Publisher
Springer New York LLC
Number of issue
4
Language
English
Pages
254-257
Status
Published
Link
External link
DOI
10.1007/S10527-019-09920-1
Volume
53
Year
2019
Organizations
  • 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
Keywords
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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