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.
Retinal imaging and image analysis,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.