Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Hyperspecral Skin Imaging with Artificial Neural Networks Validated by Optical Biotissue Phantoms

Not Accessible

Your library or personal account may give you access

Abstract

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. © 2019 The Author(s)

© 2019 The Author(s)

PDF Article
More Like This
Hyperspectral System for Imaging of Skin Chromophores and Blood Oxygenation

E. Zherebtsov, A. Popov, A. Doronin, I. Meglinski, and A. Bykov
104120G European Conference on Biomedical Optics (ECBO) 2017

Combined Multi-Wavelength Laser Speckle Contrast Imaging and Diffuse Reflectance Imaging for Skin Perfusion Assessment

A. Sdobnov, A. Bykov, A. Popov, I. Lihacova, A. Lihachev, J. Spigulis, and I. Meglinski
11075_49 European Conference on Biomedical Optics (ECBO) 2019

Image dectection through skin phantom using convolutional neural network

Roger Chiu Coutiño, David Gutiérrez-Hernández, Miguel S. Soriano-Garcia, and Roger Chiu
DTu3A.4 Bio-Optics: Design and Application (BODA) 2023

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved