Differentiation of Pigmented Skin Lesions Based on Digital Processing of Optical Images


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Resumo

A method for differentiation of pigmented skin lesions is proposed that is based on digital processing of optical images. The optical images are detected using a digital camera and a standard for its color and spatial calibration. The method involves segmentation and automatic recognition of neoplasms on the basis of five parameters: diameter, area, color, shape, and border sharpness. The analysis reveals clinical features of the lesion, required for diagnosis, and allows for calculating the probability of its malignant transformation. The method proposed was tested on 360 digital images of in vivo skin pigment lesions, including ordinary dysplastic nevi and melanoma. The sensitivity and specificity of the method proved to be 97 and 95%, respectively.

Sobre autores

E. Rimskaya

Bauman Moscow State Technical University

Autor responsável pela correspondência
Email: romehelen@gmail.com
Rússia, Moscow, 105005

A. Schadko

Bauman Moscow State Technical University

Email: reshetoviv@mail.ru
Rússia, Moscow, 105005

I. Apollonova

Bauman Moscow State Technical University

Email: reshetoviv@mail.ru
Rússia, Moscow, 105005

A. Nikolaev

Bauman Moscow State Technical University

Email: reshetoviv@mail.ru
Rússia, Moscow, 105005

A. Briko

Bauman Moscow State Technical University

Email: reshetoviv@mail.ru
Rússia, Moscow, 105005

I. Deshin

Bauman Moscow State Technical University

Email: reshetoviv@mail.ru
Rússia, Moscow, 105005

P. Bereshnoy

Plekhanov Russian University of Economics

Email: reshetoviv@mail.ru
Rússia, Moscow, 117997

K. Kudrin

Institute for Advanced Studies of the Federal Medical Biological Agency of Russia

Email: reshetoviv@mail.ru
Rússia, Moscow, 125371

K. Zaytsev

Bauman Moscow State Technical University; Sechenov First Moscow State Medical University; Prokhorov General Physics Institute, Russian Academy of Sciences

Email: reshetoviv@mail.ru
Rússia, Moscow, 105005; Moscow, 119991; Moscow, 119991

V. Tuchin

Saratov State University

Email: reshetoviv@mail.ru
Rússia, Saratov, 410012

I. Reshetov

Sechenov First Moscow State Medical University

Autor responsável pela correspondência
Email: reshetoviv@mail.ru
Rússia, Moscow, 119991

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