Machine learning–based classification of spatially resolved diffuse reflectance and autofluorescence spectra acquired on human skin for actinic keratoses and skin carcinoma diagnostics aid
Such levels of classification accuracy are promising as they are comparable to those obtained by general practitioners in KC screening.
Authors
- Walter Blondel (ORCID: https://orcid.org/0000-0001-5866-7228)
- Valentin Kupriyanov (ORCID: https://orcid.org/0000-0002-1072-0170)
- Martin Hohmann (ORCID: https://orcid.org/0000-0001-5099-1015)
- Yury V. Kistenev (ORCID: https://orcid.org/0000-0001-5760-1462)
- Grégoire Khairallah
- Christian Daul (ORCID: https://orcid.org/0000-0002-6149-7132)
- Marine Amouroux
Institutions
- Centre National de la Recherche Scientifique (FR)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- National Research Tomsk State University (RU)
- Centre de Recherche en Automatique de Nancy (FR)
- Centre Hospitalier Régional de Metz-Thionville (FR)
- Université de Lorraine (FR)
Publication Details
- Journal
- Journal of Biomedical Optics
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1117/1.jbo.30.3.035001
- Citations
- 1
- Primary Topic
- Spectroscopy Techniques in Biomedical and Chemical Research
- Type
- article
- Field-Weighted Citation Impact
- 1.63