Early Diagnosis of Skin Melanoma Using Several Imaging Systems

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...

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Bibliographic Details
Published inOptics and spectroscopy Vol. 128; no. 6; pp. 824 - 834
Main Authors Kudrin, K. G., Rimskaya, E. N., Apollonova, I. A., Nikolaev, A. P., Chernomyrdin, N. V., Svyatoslavov, D. S., Davydov, D. V., Reshetov, I. V.
Format Journal Article
LanguageEnglish
Published Moscow Pleiades Publishing 01.06.2020
Springer Nature B.V
Subjects
Biophotonics
Diagnosis
Image processing
Lasers
Melanoma
Neoplasms
Object recognition
Optical Devices
Optics
Photonics
Physics
Physics and Astronomy
Skin cancer
Tumors
digital image processing
early diagnosis of melanoma
imaging systems
machine learning
pigmented skin neoplasms
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Summary: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%.
ISSN:0030-400X
1562-6911
DOI:10.1134/S0030400X20060132