Retinal Vessel Segmentation

Benchmarks

Dataset Name	SOTA Method	Metric
STARE		Accuracy99.7	90	13d ago
DRIVE	LadderNet	Accuracy (AC)95.61	73	13d ago
CHASE DB1		Sensitivity (SE)87.98	53	1mo ago
DRIVE (test)	RV-GAN	Accuracy97.9	52	1mo ago
RECOVERY FA19	WaveRNet	Dice41.75	17	3mo ago
HRF (test)	TFFM framework	Dice79.94	17	1mo ago
HRF	FSG-Net	mIoU0.8309	17	3mo ago
STARE (test)		TPR85.54	16	3mo ago
RECOVERY S4 FA19 (in-domain)	WaveRNet	Dice60.33	15	3mo ago
CHASE_DB1 S3 (in-domain)	WaveRNet	Dice81.94	15	3mo ago
STARE S2 (in-domain)	WaveRNet	Dice79.39	15	3mo ago
DRIVE S1 (in-domain)	WaveRNet	Dice80.46	15	3mo ago
CHASE-DB (test)	Shin et al.	TP93.64	12	13d ago
ROSSA	LSENet	Dice Score91.59	10	13d ago
ROSE 1	LSENet	Dice Score88.22	10	13d ago
OCTA-500 6mm	LSENet	Dice89.14	10	13d ago
OCTA-500 3mm	LSENet	Dice Coefficient92.03	10	13d ago
Retinal Vessel Segmentation	FRNet	Params (M)0.01	7	13d ago
HRF	VFGS-Net	Dice85.6	7	3mo ago
VAMPIRE	ELEMENT	TP (True Positives)97.22	6	13d ago
Retinal Vessel Dataset DRIVE and CHASE_DB1 cross-validation (test)	HMS-VesselNet	Dice Score89.7	6	2mo ago
DRIVE evaluated on unseen Swin model outputs (test)	rNCA	DICE0.776	6	3mo ago
CHASE (test)	DUNet	TPR82.29	6	3mo ago
RC-SLO	ELEMENT	TP95.88	4	13d ago
CHASEDB1	FGOS-Net	mIoU80.45	4	2mo ago

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