Researchers at Fox Chase Cancer Center, Temple University's College of Engineering, and the Lewis Katz School of Medicine at Temple University have developed a new method that enhances the ability of ...

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 ...

Skin cancer is highly treatable, if it’s caught early. But spotting it can be tricky. How it shows up on the skin can look different depending on skin tone. And for people with darker skin, that ...

The implementation of a modified Skin and Ultraviolet Neoplasia Transplant Risk Assessment Calculator (SUNTRAC) risk-based surveillance program, which included primary care, dermatology, and ...