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Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Data analysis pipeline. Principal component analysis (PCA) and logistic regression model with leave one lesion out cross validation are applied to classify melanoma and pigmented lesions based on normalized Raman spectral data. AUROC shows the classification accuracy.