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Retinal Vessel Segmentation

Retinal vessel segmentation is the task of segmenting vessels in retina imagery.

( Image credit: LadderNet )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–60 of 139 papers

Title	Date	Tasks	Status	Hype	Score
Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation	May 6, 2025	Kolmogorov-Arnold NetworksRetinal Vessel Segmentation	CodeCode Available	0	5
Enhancing Retinal Vascular Structure Segmentation in Images With a Novel Design Two-Path Interactive Fusion Module Model	Mar 3, 2024	Retinal Vessel SegmentationSegmentation	CodeCode Available	0	5
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks	Dec 12, 2019	Image SegmentationRetinal Vessel Segmentation	CodeCode Available	0	5
BTS-DSN: Deeply Supervised Neural Network with Short Connections for Retinal Vessel Segmentation	Mar 11, 2018	Retinal Vessel SegmentationSegmentation	CodeCode Available	0	5
LadderNet: Multi-path networks based on U-Net for medical image segmentation	Oct 17, 2018	DecoderImage Segmentation	CodeCode Available	0	5
Image-level Regression for Uncertainty-aware Retinal Image Segmentation	May 27, 2024	Image Segmentationregression	CodeCode Available	0	5
Deep Learning Architectures for Diagnosis of Diabetic Retinopathy	Mar 31, 2023	Deep LearningImage Segmentation	CodeCode Available	0	5
Accurate Retinal Vessel Segmentation via Octave Convolution Neural Network	Jun 28, 2019	DecoderRetinal Vessel Segmentation	CodeCode Available	0	5
LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images	Sep 11, 2023	Active LearningArtery/Veins Retinal Vessel Segmentation	CodeCode Available	0	5
DASA: Domain Adaptation in Stacked Autoencoders using Systematic Dropout	Mar 19, 2016	Domain AdaptationRetinal Vessel Segmentation	—Unverified	0	0

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All datasets DRIVE CHASE_DB1 STARE ROSE-1 DVC ROSE-1 SVC ROSE-1 SVC-DVC ROSE-2 UZLF HRF INSPIRE-AVR (LUNet subset)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Swin-Res-Net	AUC	0.99	—	Unverified
2	FR-UNet	AUC	0.99	—	Unverified
3	Study Group Learning	AUC	0.99	—	Unverified
4	SA-UNet	AUC	0.99	—	Unverified
5	DEFFA-Unet	AUC	0.99	—	Unverified
6	U-Net	AUC	0.99	—	Unverified
7	DA-Net	AUC	0.98	—	Unverified
8	FSG-Net	AUC	0.98	—	Unverified
9	IterNet	AUC	0.98	—	Unverified
10	VGN	AUC	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FSG-Net	AUC	0.99	—	Unverified
2	Study Group Learning	AUC	0.99	—	Unverified
3	RV-GAN	AUC	0.99	—	Unverified
4	FR-UNet	AUC	0.99	—	Unverified
5	SA-UNet	AUC	0.99	—	Unverified
6	IterNet	AUC	0.99	—	Unverified
7	LadderNet	AUC	0.98	—	Unverified
8	VGN	AUC	0.98	—	Unverified
9	DEFFA-Unet	AUC	0.98	—	Unverified
10	R2U-Net	AUC	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DA-Net	AUC	0.99	—	Unverified
2	R2U-Net	AUC	0.99	—	Unverified
3	FSG-Net	AUC	0.99	—	Unverified
4	RV-GAN	AUC	0.99	—	Unverified
5	VGN	AUC	0.99	—	Unverified
6	DEFFA-Unet	AUC	0.98	—	Unverified
7	DUNet	AUC	0.98	—	Unverified
8	U-Net ASPP	mIOU	0.9	—	Unverified
9	Residual U-Net	F1 score	0.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OCTA-Net	Dice Score	70.74	—	Unverified
2	U-Net	Dice Score	66.05	—	Unverified
3	ResU-Net	Dice Score	65.67	—	Unverified
4	OCTAve: OCTA-Net	Dice Score	62.55	—	Unverified
5	CE-Net	Dice Score	57.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OCTAve: OCTA-Net	Dice Score	78.03	—	Unverified
2	OCTA-Net	Dice Score	76.97	—	Unverified
3	CE-Net	Dice Score	75.11	—	Unverified
4	ResU-Net	Dice Score	74.61	—	Unverified
5	U-Net	Dice Score	71.16	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OCTAve: OCTA-Net	Dice Score	81.42	—	Unverified
2	OCTA-Net	Dice Score	75.76	—	Unverified
3	ResU-Net	Dice Score	74.61	—	Unverified
4	CE-Net	Dice Score	73	—	Unverified
5	U-Net	Dice Score	70.12	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OCTAve: OCTA-Net	Dice Score	71.18	—	Unverified
2	OCTA-Net	Dice Score	70.77	—	Unverified
3	CE-Net	Dice Score	70.66	—	Unverified
4	ResU-Net	Dice Score	67.25	—	Unverified
5	U-Net	Dice Score	65.64	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LUNet	Average Dice (0.5Dice_a + 0.5Dice_v)	83.2	—	Unverified
2	Junior Ophtalmologist	Average Dice (0.5Dice_a + 0.5Dice_v)	82.6	—	Unverified
3	VascX	Average Dice (0.5Dice_a + 0.5Dice_v)	80.6	—	Unverified
4	Automorph	Average Dice (0.5Dice_a + 0.5Dice_v)	74	—	Unverified
5	Little W-Net	Average Dice (0.5Dice_a + 0.5Dice_v)	60.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FSG-Net	AUC	0.99	—	Unverified
2	DEFFA-Unet	AUC	0.98	—	Unverified
3	VGN	AUC	0.98	—	Unverified
4	U-Net ASPP	mIoU	0.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LUNet	Average Dice	75.6	—	Unverified