20.500.12556/RUL-166647 Robust estimation of skin physiological parameters from hyperspectral images using Bayesian neural networks Significance: Machine learning models for the direct extraction of tissue parameters from hyperspectral images have been extensively researched recently, as they represent a faster alternative to the well-known iterative methods such as inverse Monte Carlo and inverse adding-doubling (IAD). Aim: We aim to develop a Bayesian neural network model for robust prediction of physiological parameters from hyperspectral images. Approach: We propose a two-component system for extracting physiological parameters from hyperspectral images. First, our system models the relationship between the measured spectra and the tissue parameters as a distribution rather than a point estimate and is thus able to generate multiple possible solutions. Second, the proposed tissue parameters are then refined using the neural network that approximates the biological tissue model. Results: The proposed model was tested on simulated and in vivo data. It outperformed current models with an overall mean absolute error of 0.0141 and can be used as a faster alternative to the IAD algorithm. Conclusions: Results suggest that Bayesian neural networks coupled with the approximation of a biological tissue model can be used to reliably and accurately extract tissue properties from hyperspectral images on the fly. medical physics hyperspectral imaging neural networks medicinska fizika hiperspektralno slikanje nevronske mreže true false true Angleški jezik Slovenski jezik Članek v reviji 2025-01-20 11:01:07 2025-01-20 11:01:08 2025-01-21 03:59:14 0000-00-00 00:00:00 2025 0 0 Str. 016004-1-016004-17 iss. 1 Vol. 30 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 616-073 1083-3668 10.1117/1.JBO.30.1.016004 223069699 016004_1.pdf 016004_1.pdf 1 148053B8D154235C693435CB43867D6D be1c3c35870c2533985a4ddb53903e8e05cfb913aa47619557f52a8e76696879 d8e925dd-d715-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=198396 https://www.spiedigitallibrary.org/journals/journal-of-biomedical-optics/volume-30/issue-01/016004/Robust-estimation-of-skin-physiological-parameters-from-hyperspectral-images-using/10.1117/1.JBO.30.1.016004.full 0 f249e63e-d715-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=198397 Fakulteta za matematiko in fiziko 0 0 0