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Optics and Spectroscopy, 2020, Volume 128, Issue 6, Pages 820–831
DOI: https://doi.org/10.21883/OS.2020.06.49416.53-20 (Mi os405) 		 
This article is cited in 9 scientific papers (total in 9 papers)

Saratov Fall Meeting 19: 7th International Symposium ''Optics and Biophotonics'', 23d International School for Junior Scientists and Students on Optics, Laser Physics & Biophotonics and 4th School on Advanced Fluorescence Imaging Methods
Biophotonics

Early diagnosis of skin melanoma using several imaging systems

K. G. Kudrina, E. N. Rimskayab, I. A. Apollonovab, A. P. Nikolaevb, N. V. Chernomyrdinbc, D. S. Svyatoslavovd, D. V. Davydova, I. V. Reshetovad

a Academy for Postgraduate Education, Federal Research and Clinical Center, Federal Medical Biological Agency of Russia, Moscow, Russia
b Bauman Moscow State Technical University
c Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow
d Institute for Regenerative Medicine, I.M. Sechenov First Moscow State Medical University (Sechenov University)
Full-text PDF (2334 kB) Citations (9)
DOI: https://doi.org/10.21883/OS.2020.06.49416.53-20
Abstract: A complex approach was proposed for early diagnosis of skin melanoma. The approach includes sequential examinations of skin lesions using several imaging systems. A focus is placed on the specifics of morphometry using clinical images of skin neoplasms, features of imaging systems, and main steps of automated image processing and image recognition to diagnose melanoma. Metrological features were described for the approach; errors of measuring the clinical parameters of skin neoplasms did not exceed the allowable error level. The approach was tested, and the sensitivity and specificity of the methods employed was found to be higher than 90%.
Keywords: imaging systems, pigmented skin neoplasms, early diagnosis of melanoma, digital image processing, machine learning.
Funding agency Grant number
Russian Foundation for Basic Research 18-38-00958
18-29-02099
Ministry of Education and Science of the Russian Federation
The development and testing of the experimental model screening system for pigmented neoplasms was supported by the Russian Foundation for Basic Research (project no. 18-38-00958). The development of metrological support and the thermographic studies of pigmented skin neoplasms were supported by the Russian Foundation for Basic Research (project no. 18-29-02099). The work performed at Sechenov First Moscow State Medical University was additionally supported by the Project 5-100, which is aimed at improving the competitiveness of Russian universities.
Received: 20.12.2019
Revised: 03.02.2020
Accepted: 28.02.2020
English version:
Optics and Spectroscopy, 2020, Volume 128, Issue 6, Pages 824–834
DOI: https://doi.org/10.1134/S0030400X20060132
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: K. G. Kudrin, E. N. Rimskaya, I. A. Apollonova, A. P. Nikolaev, N. V. Chernomyrdin, D. S. Svyatoslavov, D. V. Davydov, I. V. Reshetov, “Early diagnosis of skin melanoma using several imaging systems”, Optics and Spectroscopy, 128:6 (2020), 820–831; Optics and Spectroscopy, 128:6 (2020), 824–834
Citation in format AMSBIB
\Bibitem{KudRimApo20}
\by K.~G.~Kudrin, E.~N.~Rimskaya, I.~A.~Apollonova, A.~P.~Nikolaev, N.~V.~Chernomyrdin, D.~S.~Svyatoslavov, D.~V.~Davydov, I.~V.~Reshetov
\paper Early diagnosis of skin melanoma using several imaging systems
\jour Optics and Spectroscopy
\yr 2020
\vol 128
\issue 6
\pages 820--831
\mathnet{http://mi.mathnet.ru/os405}
\crossref{https://doi.org/10.21883/OS.2020.06.49416.53-20}
\elib{https://elibrary.ru/item.asp?id=43808067}
\transl
\jour Optics and Spectroscopy
\yr 2020
\vol 128
\issue 6
\pages 824--834
\crossref{https://doi.org/10.1134/S0030400X20060132}
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    • This publication is cited in the following 9 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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