An unsupervised feature learning framework for basal cell carcinoma image analysis
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.
unsupervised feature learning basal cell carcinoma digital pathology representation learning