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Multispectral and autofluorescence RGB imaging for skin cancer diagnostics
Author(s): V. Lukinsone; I. Kuzmina; R. Veilande; E. V. Plorina; D. Bliznuks; K. Bolochko; A. Derjabo; I. Lihacova; J. Spigulis
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Paper 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.

Paper Details

Date Published: 3 June 2019
PDF: 7 pages
Proc. SPIE 11065, Saratov Fall Meeting 2018: Optical and Nano-Technologies for Biology and Medicine, 110650A (3 June 2019); doi: 10.1117/12.2518882
Show Author Affiliations
V. Lukinsone, Univ. of Latvia (Latvia)
I. Kuzmina, Univ. of Latvia (Latvia)
R. Veilande, Univ. of Latvia (Latvia)
E. V. Plorina, Univ. of Latvia (Latvia)
D. Bliznuks, Riga Technical Univ. (Latvia)
K. Bolochko, Riga Technical Univ. (Latvia)
A. Derjabo, Riga Eastern Univ. Hospital (Latvia)
I. Lihacova, Univ. of Latvia (Latvia)
J. Spigulis, Univ. of Latvia (Latvia)


Published in SPIE Proceedings Vol. 11065:
Saratov Fall Meeting 2018: Optical and Nano-Technologies for Biology and Medicine
Elina A. Genina; Valery V. Tuchin, Editor(s)

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