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EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis
Today's computer-aided diagnosis (CAD) model is still far from the clinical practice of glaucoma detection, mainly due to the training bias originating from 1) the normal-abnormal class imbalance and 2) the rare but significant hard samples in fundus images.
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