Skin Segmentation

Skin segmentation, the automated identification and delineation of skin regions in images, is a crucial task in computer vision with applications in dermatology and beyond. Current research emphasizes improving segmentation accuracy and robustness across diverse skin tones and lighting conditions, utilizing advanced architectures like U-Net and its variants, convolutional neural networks (CNNs), and diffusion models, often employing ensemble methods or attention mechanisms to enhance performance. These advancements are driving progress in computer-aided diagnosis of skin diseases, enabling more efficient and accurate analysis of skin conditions, and reducing biases inherent in existing systems.