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Publikācija: Multispectral and Autofluorescence RGB Imaging for Skin Cancer Diagnostics

Publication Type Scientific article indexed in SCOPUS or WOS database
Funding for basic activity Research project
Defending: ,
Publication language English (en)
Title in original language Multispectral and Autofluorescence RGB Imaging for Skin Cancer Diagnostics
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Research platform Information and Communication
Authors Vanesa Lukinsone
Ilona Kuzmina
Rita Veilande
Dmitrijs Bļizņuks
Katrina Boločko
Emilija Vija Plorina
Alexander Derjabo
Ilze Lihacova
Janis Spiguls
Keywords Autofluorescences imaging, Multispectral imaging, Skin neoplasms diagnostics
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 SPIE.
DOI: 10.1117/12.2518882
Hyperlink: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11065/2518882/Multispectral-and-autofluorescence-RGB-imaging-for-skin-cancer-diagnostics/10.1117/12.2518882.short 
Reference Lukinsone, V., Kuzmina, I., Veilande, R., Bļizņuks, D., Boločko, K., Plorina, E., Derjabo, A., Lihacova, I., Spiguls, J. Multispectral and Autofluorescence RGB Imaging for Skin Cancer Diagnostics. Proceedings of SPIE, 2019, Vol. 11065, pp.1-7. ISSN 1605-7422. e-ISSN 2410-9045. Available from: doi:10.1117/12.2518882
Additional information Citation count:
ID 30485