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.
deep-learning pytorch medical-imaging dermatology computervision multimodal-learning rag fastapi clinical-nlp skin-cancer-detection healthcare-ai vision-language-model medgemma pad-ufes-20 medsiglip
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Updated
May 1, 2026 - TypeScript