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홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

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HyperAI초신경

Retinal Vessel Segmentation On Stare

평가 지표

F1 score

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	F1 score	Paper Title	Repository
Residual U-Net	0.8388	Road Extraction by Deep Residual U-Net	-
R2U-Net	0.8475	Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation	-
U-Net	0.8373	U-Net: Convolutional Networks for Biomedical Image Segmentation	-
FSG-Net	0.8510	Full-scale Representation Guided Network for Retinal Vessel Segmentation	-
RV-GAN	0.8323	RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network	-
U-Net ASPP	-	Resolution-Aware Design of Atrous Rates for Semantic Segmentation Networks	-
DUNet	0.8143	DUNet: A deformable network for retinal vessel segmentation	-
VGN	0.8429	Deep Vessel Segmentation By Learning Graphical Connectivity	-

0 of 8 row(s) selected.

Retinal Vessel Segmentation On Stare | SOTA | HyperAI초신경