Detection and Segmentation of Malignant Melanoma Regions in Dermoscopic Images Using Machine Learning

Melanomas are among the deadliest types of skin cancer, requiring early detection to improve survival rates. This project employs deep learning techniques, specifically U-Net-based architectures, to segment and identify melanomas in an open dataset of dermoscopic images. For the segmentation task, t...