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pad-ufes-20

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Multimodal skin lesion classifier fusing MedSigLIP vision, ClinicalBERT text, and ABCD dermoscopy features via cross-attention. 0.76 macro F1 on PAD-UFES-20. Deployed with Next.js, Go, FastAPI, and MedGemma 4B for clinical reasoning.

  • Updated May 1, 2026
  • TypeScript

A protocol-induced label leak in PAD-UFES-20: 13 clinical fields are blank as a block for 824 lesions, none malignant. One content-free bit reproduces 79% of the metadata model's discriminative power and matches all 21 clinical fields in multimodal fusion.

  • Updated Aug 4, 2026
  • Python

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