Automated skin lesion classification using ResNet50 transfer learning on HAM10000 dataset. Achieved ~83% accuracy across 7 diagnostic categories. MATLAB implementation for VCU Image Analysis course.

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 ...

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 ...

While skin cancer is less common in people with dark skin, it is often diagnosed at more advanced stages, resulting in worse outcomes. Researchers at UC San Diego Moores Cancer Center leveraged data ...

DermaSensor announced newly published studies supporting the performance of its device for evaluating suspicious skin lesions. “This independent prospective UPMC study further reinforces that ...

Please provide your email address to receive an email when new articles are posted on . Solid organ transplant recipients are 7.8 times more likely to develop skin cancer. Risk-stratified surveillance ...

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 ...

A new wearable patch can detect early signs of the deadliest form of skin cancer. The wireless device allows screening of patients at home so melanoma can be caught sooner - potentially reducing the ...