Retinal Vessel Segmentation On Stare

Métriques

F1 score

Résultats

Résultats de performance de divers modèles sur ce benchmark

		Paper Title
FSG-Net	0.8510	Full-scale Representation Guided Network for Retinal Vessel Segmentation
R2U-Net	0.8475	Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
VGN	0.8429	Deep Vessel Segmentation By Learning Graphical Connectivity
Residual U-Net	0.8388	Road Extraction by Deep Residual U-Net
U-Net	0.8373	U-Net: Convolutional Networks for Biomedical Image Segmentation
RV-GAN	0.8323	RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network
DUNet	0.8143	DUNet: A deformable network for retinal vessel segmentation
U-Net ASPP	-	Resolution-Aware Design of Atrous Rates for Semantic Segmentation Networks

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Retinal Vessel Segmentation On Stare | SOTA | HyperAI