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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
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.
Received: 03.12.2015 Revised: 08.03.2016
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
Linking options:
https://www.mathnet.ru/eng/co138 https://www.mathnet.ru/eng/co/v40/i2/p240
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Abstract page: | 255 | Full-text PDF : | 107 | References: | 32 |
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