Dermoscopy Image

Dermoscopy images, detailed close-up pictures of skin lesions, are crucial for accurate diagnosis of skin cancers like melanoma and basal cell carcinoma. Current research focuses on improving automated analysis of these images using deep learning models, particularly convolutional neural networks (CNNs) and transformer architectures, often incorporating multi-modal data (dermoscopy and clinical images) and attention mechanisms to enhance diagnostic accuracy and interpretability. These advancements aim to improve the speed and consistency of skin cancer diagnosis, potentially leading to earlier intervention and better patient outcomes by assisting dermatologists and expanding access to expert-level analysis.