Melanoma Skin Cancer

Melanoma, the deadliest form of skin cancer, is the focus of intense research aimed at improving early detection and prognosis. Current efforts leverage deep learning, employing convolutional neural networks (CNNs) like ResNet, DenseNet, EfficientNet, and VGG, often enhanced by transfer learning and attention mechanisms, to analyze dermoscopic and histopathological images for accurate classification and risk stratification. These advancements, including AI-powered tools for lesion detection and thickness prediction, hold significant promise for improving diagnostic accuracy, potentially reducing mortality rates and enabling more personalized treatment strategies. Furthermore, research is exploring ways to mitigate biases in AI models to ensure equitable access to accurate diagnosis across diverse populations.