Hyperspectral imaging for perfusion assessment of the skin with convolutional neuronal networks

Matthäus Linek; Isabel Schrader; Veronika Volgger; Adrian Rühm; Ronald Sroka

doi:10.1117/12.2614462

7 December 2021 Hyperspectral imaging for perfusion assessment of the skin with convolutional neuronal networks

Matthäus Linek, Isabel Schrader, Veronika Volgger, Adrian Rühm, Ronald Sroka

Proceedings Volume 11919, Translational Biophotonics: Diagnostics and Therapeutics; 119190C (2021) https://doi.org/10.1117/12.2614462
Event: European Conferences on Biomedical Optics, 2021, Online Only

Abstract

Convolutional neural networks were trained to determine four perfusion parameters from HSI recordings. The false-color images generated in this process show slight differences from the corresponding references, but can be reproduced meaningfully by visual assessment.

Citation Download Citation

Matthäus Linek, Isabel Schrader, Veronika Volgger, Adrian Rühm, and Ronald Sroka "Hyperspectral imaging for perfusion assessment of the skin with convolutional neuronal networks", Proc. SPIE 11919, Translational Biophotonics: Diagnostics and Therapeutics, 119190C (7 December 2021); https://doi.org/10.1117/12.2614462

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