Robust estimation of skin physiological parameters from hyperspectral images using Bayesian neural networks
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.
Authors
- Matija Milanič (ORCID: https://orcid.org/0000-0002-4417-0293)
- Teo Manojlović (ORCID: https://orcid.org/0000-0002-8891-0935)
- Tadej Tomanič (ORCID: https://orcid.org/0000-0002-5398-335X)
- Ivan Štajduhar (ORCID: https://orcid.org/0000-0003-4758-7972)
Institutions
- University of Ljubljana (SI)
- University of Rijeka (HR)
- Jožef Stefan Institute (SI)
Publication Details
- Journal
- Journal of Biomedical Optics
- Published
- 2025-01-16
- DOI
- https://doi.org/10.1117/1.jbo.30.1.016004
- Citations
- 2
- Primary Topic
- Optical Imaging and Spectroscopy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- Javna Agencija za Raziskovalno Dejavnost RS
- Hrvatska Zaklada za Znanost