This project is a deep learning-based web application for detecting skin cancer (Benign vs. Malignant) using Convolutional Neural Networks (CNNs). The model is trained on a publicly available Kaggle ...

Yukon high school students from Faro have developed an artificial intelligence-powered tool to detect skin cancer early and hope it will earn top honours at the 2025 Canada-Wide Science Fair in ...

SCC-ALAR: An experimental study on skin lesion classification using hybrid CNN-Transformer architectures. This project explores the impact of architectural complexity versus inductive bias on the ...

Immunogenic cell death (ICD) has emerged as a novel option for cancer immunotherapy. The key determinants of ICD encompass antigenicity (the presence of antigens) and adjuvanticity, which involves the ...

Abstract: Dermatological conditions are a global health concern affecting all age groups. They encompass various skin issues such as rashes, moles, acne, blisters, hives, nodules, cysts, macules, and ...

May is National Melanoma/Skin Cancer Detection and Prevention Month. This month is dedicated to increasing public awareness of the importance of skin cancer prevention, early detection, and treatment, ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Many biochemical processes depend on the association of ...