Early identification of melanomas with high metastatic potential is crucial for treatment planning and survival prediction. We investigated whether weakly supervised WSI-based and multimodal learning ...

Skin cancer is a disease that affects people of all ages. Automated diagnosis of skin cancer reduces the rate of death by detecting the disease at primary phase. Visual inspecting at the clinical ...

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, ...

Share on Pinterest Evidence suggests that AI tools assisting dermatologists can improve diagnostic performance for skin cancer. Image credit: PER Images/Stocksy A study suggests that artificial ...