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 often overlook crucial patient information (like age, gender, or where on the body the lesion appears) that can improve diagnostic accuracy. This highlights the importance of multimodal fusion models that can enable high precision diagnosis.

This article was originally published on MedicalXpress.com

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