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.
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks,
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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.