University of Oulu

A. Bykov, E. Zherebtsov, V. Dremin, A. Popov, A. Doronin, and I. Meglinski, "Hyperspecral Skin Imaging with Artificial Neural Networks Validated by Optical Biotissue Phantoms," in Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP), OSA Technical Digest (Optical Society of America, 2019), paper CW1A.3., DOI:

Hyperspecral skin imaging with artificial neural networks validated by optical biotissue phantoms

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Author: Bykov, A.1; Zherebtsov, E.1; Dremin, V.1;
Organizations: 1Opto-Electronics and Measurement Techniques Research Unit, University of Oulu,P.O. Box 4500, 90014 Oulu, Finland
2School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, 6140, Wellington, New Zealand
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Optical Society of America, 2020
Publish Date: 2020-11-05


State-of-the-art micro-optic multichannel matrix sensor combined with the tunable Fabry-Perot micro interferometer enables a compact diagnostic device sensitive to the changes of the oxygen saturation as well as the blood volume fraction of human skin. The possibility of using Monte-Carlo modelling for neural network training in the problem of hyperspectral image processing has been demonstrated and validated using biotissue phantom and human skin in vivo. The proposed approach enables a tool combining both the speed of neural network processing and the accuracy and flexibility of Monte-Carlo modelling.

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ISBN Print: 978-1-943580-63-7
Pages: 1 - 2
Article number: CW1A.3.
DOI: 10.1364/COSI.2019.CW1A.3
Host publication: Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP), OSA Technical Digest. Computational Optical Sensing and Imaging, Imaging and Applied Optics Congress. 24–27 June 2019, Munich, Germany
Conference: Imaging and Applied Optics Congress
Type of Publication: B3 Article in conference proceedings
Field of Science: 114 Physical sciences
Funding: Authors acknowledge the support of the Academy of Finland (grants: 290596, 296408).
Academy of Finland Grant Number: 290596
Detailed Information: 290596 (Academy of Finland Funding decision)
296408 (Academy of Finland Funding decision)
Copyright information: © 2019 The Author(s). This is the Authors Accepted Manuscript version of this article published by The Optical Society of America. The Definitive Version of Record can be found online at