ArticleJournal of biomedical optics2025
Machine learning-based classification of spatially resolved diffuse reflectance and autofluorescence spectra acquired on human skin for actinic keratoses and skin carcinoma diagnostics aid.
Article in Journal of biomedical optics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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7 authors.
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Abstract
Significance: The incidence of keratinocyte carcinomas (KCs) is increasing every year, making the task of developing new methods for KC early diagnosis of utmost medical and economical importance. Aim: We aim to evaluate the KC diagnostic aid performance of an optical spectroscopy device associated with a machine-learning classification method. Approach: We present the classification performance of autofluorescence and diffuse reflectance optical spectra obtained Results: The accuracy of binary classification tests was Conclusions: Such levels of classification accuracy are promising as they are comparable to those obtained by general practitioners in KC screening.
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