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

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A new deep learning system developed by an international research team detects melanoma with 94.5% accuracy by fusing dermoscopic images and patient metadata such as age, gender, and lesion location. The approach enhances diagnostic precision, transparency, and access to early skin cancer detection through smart health care technology. Credit: Professor Gwangill Jeon / Incheon National University, Korea
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