Deep learning techniques in predicting BRAF mutation status in cutaneous melanoma from histopathologic images.
AIMS To develop and validate a deep learning framework for discriminating BRAF mutation status in cutaneous melanoma from routine H&E whole-slide images (WSIs) as a proof-of-concept complementary approach alongside molecular testing. METHODS We built a two-stage pipeline comprising U-Net-based tumour segmentation fol...