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المنصة
الرئيسية
SOTA
تقسيم الأوعية الشبكية
Retinal Vessel Segmentation On Drive
Retinal Vessel Segmentation On Drive
المقاييس
AUC
F1 score
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
AUC
F1 score
Paper Title
FSG-Net
0.9823
0.8322
Full-scale Representation Guided Network for Retinal Vessel Segmentation
Study Group Learning
0.9886
0.8316
Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels
FR-UNet
0.9889
0.8316
Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph Segmentation
MERIT-GCASCADE
-
0.8290
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation
SA-UNet
0.9864
0.8263
SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation
VGN
0.9802
0.8263
Deep Vessel Segmentation By Learning Graphical Connectivity
ConvMixer
-
0.8245
Deep Learning Architectures for Diagnosis of Diabetic Retinopathy
DUNet
0.9802
0.8237
DUNet: A deformable network for retinal vessel segmentation
BCDU-Net (d=3)
0.9789
0.8224
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions
ConvMixer-Light
-
0.8215
Deep Learning Architectures for Diagnosis of Diabetic Retinopathy
PVT-GCASCADE
-
0.8210
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation
IterNet
0.9816
0.8205
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks
LadderNet
0.9793
0.8202
LadderNet: Multi-path networks based on U-Net for medical image segmentation
Residual U-Net
0.9779
0.8149
Road Extraction by Deep Residual U-Net
U-Net
0.9755
0.8142
U-Net: Convolutional Networks for Biomedical Image Segmentation
DR_2021
-
0.75
Segmentation of Blood Vessels, Optic Disc Localization, Detection of Exudates and Diabetic Retinopathy Diagnosis from Digital Fundus Images
ET-Net
-
-
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation
RV-GAN
-
-
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network
U-Net
0.9855
-
Exploring The Limits Of Data Augmentation For Retinal Vessel Segmentation
CE-Net
0.9779
-
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
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