Kupriyanov V, Blondel W, Daul C, Hohmann M, Khairallah G, Kistenev Y, Amouroux M (2025)
Publication Type: Journal article
Publication year: 2025
Book Volume: 30
Pages Range: 035001-
Journal Issue: 3
DOI: 10.1117/1.JBO.30.3.035001
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 in vivo from 131 patients on four histological classes: basal cell carcinoma (BCC), squamous cell carcinoma (SCC), actinic keratosis (AK), and healthy (H) skin. Classification accuracies obtained by support vector machine, discriminant analysis, and multilayer perceptron in binary- and multi-class modes were compared to define the best classification pipeline. Results: The accuracy of binary classification tests was formula presented to discriminate BCC or SCC from H. For AK versus other classes, the classification achieved a 65% to 75% accuracy. In multiclass (three or four classes) classification modes, accuracy reached 57%. Fusion of decisions increased classification accuracies (up to 10 percentage point-increase), proving the interest of multimodal spectroscopy compared with a single modality. Conclusions: Such levels of classification accuracy are promising as they are comparable to those obtained by general practitioners in KC screening.
APA:
Kupriyanov, V., Blondel, W., Daul, C., Hohmann, M., Khairallah, G., Kistenev, Y., & Amouroux, M. (2025). Machine learning-based classification of spatially resolved diffuse reflectance and autofluorescence spectra acquired on human skin for actinic keratoses and skin carcinoma diagnostics aid. Journal of Biomedical Optics, 30(3), 035001-. https://doi.org/10.1117/1.JBO.30.3.035001
MLA:
Kupriyanov, Valentin, et al. "Machine learning-based classification of spatially resolved diffuse reflectance and autofluorescence spectra acquired on human skin for actinic keratoses and skin carcinoma diagnostics aid." Journal of Biomedical Optics 30.3 (2025): 035001-.
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