DGSSA trains retinal vessel segmenters on procedurally generated vascular structures rendered into pseudo-fundus images by an improved Pix2Pix, plus PixMix style mixing, gaining about 0.38 average Dice points over the prior best method AADG.
Idrid: Diabetic retinopathy–segmentation and grading challenge,
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DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation
DGSSA trains retinal vessel segmenters on procedurally generated vascular structures rendered into pseudo-fundus images by an improved Pix2Pix, plus PixMix style mixing, gaining about 0.38 average Dice points over the prior best method AADG.