CGSD framework reaches 87.5% accuracy and 0.731 macro F1 on APTOS 2019 by conditioning diffusion denoising on dot-product vectors from image features and DR-grade text descriptions.
GLoRIA: A multimodal global-local representation learning framework for label- efficient medical image recognition
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Cross-Modal Semantic-Enhanced Diffusion Framework for Diabetic Retinopathy Grading
CGSD framework reaches 87.5% accuracy and 0.731 macro F1 on APTOS 2019 by conditioning diffusion denoising on dot-product vectors from image features and DR-grade text descriptions.