Nature

Skin disease diagnostics through federated transfer learning on heterogeneous data

Skin diseases frequently cause mental and physical distress and are major global health concern. Because early detection is crucial to successful treatment, accurate diagnosis is challenge for ...
Nature

Advancing skin cancer detection through deep learning and fusion of patient metadata and skin lesion images

There has been a significant rise in skin cancer incidence during the last three decades and the waiting time for skin lesion assessment in both the NHS and private sectors in the UK has increased ...
Medical Xpress

Deep learning system could transform skin cancer detection with near-perfect accuracy

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 ...
The American Journal of Managed Care

Optimized Deep Learning Model Classifies Smartphone Images of Malignant Skin Lesions

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, ...