An unsupervised feature learning framework for basal cell carcinoma image analysis

John Edison Arevalo Ovalle, Angel Cruz-Roa, Viviana Arias, Eduardo Romero, Fabio A. González

Abstract: Highlights•A framework for basal cell carcinoma detection based on unsupervised feature learning.•Experimental results show an improvement when compared to state-of-the-art methods.•The framework integrates a digital staining method which improves interpretability.•Digital staining highlights regions in the image which the model relates to cancer.