Imagine watching someone take an expert’s detailed reasoning, strip out everything except the most important cues, and hand those cues to a student who has never seen the full picture. That is roughly what a team from National Cheng Kung…
Skin cancer detection has become one of the clearer success stories for deep learning in medicine, with models trained on large dermoscopy image collections repeatedly matching or approaching dermatologist level accuracy on benchmark datasets. The catch is that the models…
SSD-KD: A Compact Skin Lesion Classifier That Outperforms Its Own Teacher Model Read More »
Skin cancer screening was one of the first places deep learning actually earned its hype. A 2017 Nature paper by Esteva and colleagues showed a convolutional network matching board certified dermatologists at distinguishing benign moles from malignant ones, and the…
Reversing Adversarial Attacks on Skin Cancer AI With Multiscale Noise Read More »
Lung cancer kills more people worldwide than any other cancer, and the reason is timing more than treatment. A lung nodule found early, while it is still small and localized, is a very different clinical situation from one found after…
Why LungCT-NET Stacks Four Networks Instead of Trusting One Read More »