Paper
3 June 2019 Multispectral and autofluorescence RGB imaging for skin cancer diagnostics
V. Lukinsone, I. Kuzmina, R. Veilande, E. V. Plorina, D. Bliznuks, K. Bolochko, A. Derjabo, I. Lihacova, J. Spigulis
Author Affiliations +
Proceedings Volume 11065, Saratov Fall Meeting 2018: Optical and Nano-Technologies for Biology and Medicine; 110650A (2019) https://doi.org/10.1117/12.2518882
Event: International Symposium on Optics and Biophotonics VI: Saratov Fall Meeting 2018, 2018, Saratov, Russian Federation
Abstract
This paper presents the results of statistical clinical data, combining two diagnostic methods. A combination of two skin imaging methods – diffuse reflectance and autofluorescence – has been applied for skin cancer diagnostics. Autofluorescence (AF) and multispectral diffuse reflectance images were acquired by custom made prototype with 405 nm, 526 nm, 663 nm and 964 nm LEDs and RGB CMOS camera. Parameter p’ was calculated from diffuse reflectance images under green, red and infrared illumination, AF intensity (I’) was calculated from AF images exited at 405nm wavelength. Obtained results show that criterion p` > 1 gives possibility to discriminate melanomas and different kind of keratosis from other lesions, and criterion I` < 0.2 gives the possibility to discriminate melanomas from keratosis.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
V. Lukinsone, I. Kuzmina, R. Veilande, E. V. Plorina, D. Bliznuks, K. Bolochko, A. Derjabo, I. Lihacova, and J. Spigulis "Multispectral and autofluorescence RGB imaging for skin cancer diagnostics", Proc. SPIE 11065, Saratov Fall Meeting 2018: Optical and Nano-Technologies for Biology and Medicine, 110650A (3 June 2019); https://doi.org/10.1117/12.2518882
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Cited by 2 scholarly publications.
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KEYWORDS
Skin

Melanoma

Diagnostics

Multispectral imaging

Diffuse reflectance spectroscopy

Light emitting diodes

RGB color model

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