Automated Remote Diagnosis of Dermatological Neoplasms

Minimum requirements for techniques of remote and automated diagnostics of skin neoplasms are formulated. For the first time, requests received by the Russian teledermatological service dermatology.ru are analyzed to determine promising directions for the development of techniques of computer analysis of skin neoplasm images. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

Authors
Sergeev V.Y.1 , Sergeev Y.Y.2 , Tamrazova O.B. 3 , Nikitaev V.G.4 , Pronichev A.N.4
Journal
Biomedical Engineering
Publisher
Springer New York LLC
Number of issue
3
Language
English
Pages
194-195
Status
Published
Link
External link
DOI
10.1007/S10527-019-09907-Y
Volume
53
Year
2019
Organizations
  • 1 Dermatological Research Center, Moscow, Russian Federation
  • 2 Society for Dermatoscopy and Optical Diagnostics of Skin, Moscow, Russian Federation
  • 3 Peoples’ Friendship University of Russia, Moscow, Russian Federation
  • 4 National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation
Keywords
Engineering; Industrial engineering; Automated diagnostics; Computer analysis; Minimum requirements; Remote diagnosis; Tumors; Article; computer assisted diagnosis; dermatology; digital imaging; epiluminescence microscopy; human; image analysis; image processing; machine learning; medical practice; priority journal; seborrheic keratosis; skin tumor
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