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JOURNALS // Optics and Spectroscopy // Archive

Optics and Spectroscopy, 2020 Volume 128, Issue 6, Pages 820–831 (Mi os405)

This article is cited in 10 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)

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.

Received: 20.12.2019
Revised: 03.02.2020
Accepted: 28.02.2020

DOI: 10.21883/OS.2020.06.49416.53-20


 English version:
Optics and Spectroscopy, 2020, 128:6, 824–834

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