DiffuPT pretrains a glaucoma classifier on diffusion-generated, baseline-filtered synthetic fundus images and then fine-tunes on real images, improving harmonic mean from 89.09% to 92.59% on the new GlaucomaEgy test set.
Smote: synthetic minority over- sampling technique
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DiffuPT: Class Imbalance Mitigation for Glaucoma Detection via Diffusion Based Generation and Model Pretraining
DiffuPT pretrains a glaucoma classifier on diffusion-generated, baseline-filtered synthetic fundus images and then fine-tunes on real images, improving harmonic mean from 89.09% to 92.59% on the new GlaucomaEgy test set.