Revamping AI Models in Dermatology: Overcoming Critical Challenges for Enhanced Skin Lesion Diagnosis

no code implementations • 2 Nov 2023 • Deval Mehta, Brigid Betz-Stablein, Toan D Nguyen, Yaniv Gal, Adrian Bowling, Martin Haskett, Maithili Sashindranath, Paul Bonnington, Victoria Mar, H Peter Soyer, ZongYuan Ge

For a clinical image, our model generates three outputs: a hierarchical prediction, an alert for out-of-distribution images, and a recommendation for dermoscopy if clinical image alone is insufficient for diagnosis.

Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings

no code implementations • 13 Sep 2022 • Zhen Yu, Toan Nguyen, Yaniv Gal, Lie Ju, Shekhar S. Chandra, Lei Zhang, Paul Bonnington, Victoria Mar, Zhiyong Wang, ZongYuan Ge

Accordingly, the learned prototypes preserve the semantic class relations in the embedding space and we can predict the label of an image by assigning its feature to the nearest hyperbolic class prototype.

Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images

1 code implementation • 30 Jun 2022 • Deval Mehta, Yaniv Gal, Adrian Bowling, Paul Bonnington, ZongYuan Ge

Through this approach, 1) First, we target the mixup amongst middle and tail classes to address the long-tail problem.

Lesion Classification Multi-class Classification +3