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Computer Optics, 2016, Volume 40, Issue 2, Pages 240–248
DOI: https://doi.org/10.18287/2412-6179-2016-40-2-240-248
(Mi co138)
 

This article is cited in 19 scientific papers (total in 19 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Hyperspectral visualization of skin pathologies in visible region

I. A. Bratchenkoa, M. V. Alonovab, O. O. Myakinina, A. A. Moryatovc, S. V. Kozlovc, V. P. Zakharova

a Samara State Aerospace University, Samara, Russia
b Saratov State Technical University, Saratov, Russia
c Samara State Medical University, Samara, Russia
References:
Abstract: The paper presents the analysis of hyperspectral images for human skin cancer diagnosis. The hyperspectral imaging data contained backscattered spectra of normal skin and malignant skin tumors. The analysis of hyperspectral images provided the information about the shape and intensity of hemoglobin and melanin spectral lines for the differentiation of malignant pigmented skin neoplasms.
Keywords: hyperspectral visualization, backscattering spectroscopy, melanoma, nevi.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation
Russian Foundation for Basic Research 15-32-51170-мол_нр
The work was supported by the Ministry of Education of the Russian Federation and RFBR grant № 15-32-51170.
Received: 03.12.2015
Revised: 08.03.2016
Document Type: Article
Language: Russian
Citation: I. A. Bratchenko, M. V. Alonova, O. O. Myakinin, A. A. Moryatov, S. V. Kozlov, V. P. Zakharov, “Hyperspectral visualization of skin pathologies in visible region”, Computer Optics, 40:2 (2016), 240–248
Citation in format AMSBIB
\Bibitem{BraAloMya16}
\by I.~A.~Bratchenko, M.~V.~Alonova, O.~O.~Myakinin, A.~A.~Moryatov, S.~V.~Kozlov, V.~P.~Zakharov
\paper Hyperspectral visualization of skin pathologies in visible region
\jour Computer Optics
\yr 2016
\vol 40
\issue 2
\pages 240--248
\mathnet{http://mi.mathnet.ru/co138}
\crossref{https://doi.org/10.18287/2412-6179-2016-40-2-240-248}
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  • https://www.mathnet.ru/eng/co138
  • https://www.mathnet.ru/eng/co/v40/i2/p240
  • This publication is cited in the following 19 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
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