At Modern College of Business and Science in Oman, researchers have developed a machine learning model that can classify melanoma types with 91 per cent accuracy, offering hope that a new generation ...

Using clinical images in DL systems may improve skin cancer detection by providing a more inclusive representation of real-world lesions. DenseNet models outperformed others in binary classification, ...

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...