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.
|Title of host publication||Computational Optical Sensing and Imaging, COSI 2019|
|Publication status||Published - 27 Jun 2019|
|Event||Computational Optical Sensing and Imaging, COSI 2019 - Munich, Germany|
Duration: 24 Jun 2019 → 27 Jun 2019
|Conference||Computational Optical Sensing and Imaging, COSI 2019|
|Period||24/06/19 → 27/06/19|
Bibliographical noteFunding Information:
Authors acknowledge the support of the Academy of Finland (grants: 290596, 296408).
© OSA 2019 © 2019 The Author(s)
Copyright 2020 Elsevier B.V., All rights reserved.