Researchers at Fox Chase Cancer Center and Temple University have developed a new method that enhances the ability of artificial intelligence models to detect and diagnose skin cancer in individuals ...

Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying individuals with skin cancer that combines genetic ancestry, lifestyle and social ...

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, ...