Paper
7 December 2021 Vasculature-based biomarkers and segmentation from hyperspectral images of murine peritonitis model
Jošt Stergar, Katja Lakota, Martina Perše, Matija Tomšič, Matija Milanič
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Abstract
Optical properties were extracted from hyperspectral images of murine abdominal walls and segmentation was used to extract blood vessels. Biomarkers were calculated and used to differentiate between control and CHX induced peritonitis subjects.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jošt Stergar, Katja Lakota, Martina Perše, Matija Tomšič, and Matija Milanič "Vasculature-based biomarkers and segmentation from hyperspectral images of murine peritonitis model", Proc. SPIE 11919, Translational Biophotonics: Diagnostics and Therapeutics, 119190P (7 December 2021); https://doi.org/10.1117/12.2614589
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KEYWORDS
Image segmentation

Tissues

Hyperspectral imaging

Blood

RGB color model

Blood vessels

Imaging systems

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