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Retinal Vessel Segmentation

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하위 태스크: 1
평가표: 10
보존된 평가 기록: 78

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

<span style="color:grey; opacity: 0.6">( Image credit: LadderNet )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/woalsdnd/v-gan

공식 코드

Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks

https://github.com/AAleka/Cycle-CBAM-and-CBAM-UNet/tree/main/UNet

공식 코드

Retinal Image Restoration and Vessel Segmentation using Modified Cycle-CBAM and CBAM-UNet

https://github.com/Guzaiwang/CE-Net

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CE-Net: Context Encoder Network for 2D Medical Image Segmentation

https://github.com/IoBT-VISTEC/OCTAve

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OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation

https://github.com/JiajieMo/OctaveUNet

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Accurate Retinal Vessel Segmentation via Octave Convolution Neural Network

https://github.com/PaddlePaddle/Research

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Robust Retinal Vessel Segmentation from a Data Augmentation Perspective

https://github.com/SHI-Labs/SGL-Retinal-Vessel-Segmentation

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Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels

https://github.com/SLDGroup/G-CASCADE

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G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation

https://github.com/SharifAmit/RVGAN

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RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network

https://github.com/TauhidScu/DEFFA-Unet

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Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation

https://github.com/aaleka/cycle-cbam-and-cbam-unet

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Retinal Image Restoration and Vessel Segmentation using Modified Cycle-CBAM and CBAM-UNet

https://github.com/agaldran/lwnet

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The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models

https://github.com/aim-lab/LUNet

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LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images

https://github.com/alikaraali/dr-vnet

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DR-VNet: Retinal Vessel Segmentation via Dense Residual UNet

https://github.com/americofmoliveira/VesselSegmentation_ESWA

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Retinal Vessel Segmentation based on Fully Convolutional Networks

https://github.com/annawundram/PerformanceRangePrediction

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Conformal Performance Range Prediction for Segmentation Output Quality Control

https://github.com/browatbn2/VLight

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The Unreasonable Effectiveness of Encoder-Decoder Networks for Retinal Vessel Segmentation

https://github.com/charrywhite/elastic_interaction_based_loss

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An Elastic Interaction-Based Loss Function for Medical Image Segmentation

https://github.com/clguo/CAR-UNet

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Channel Attention Residual U-Net for Retinal Vessel Segmentation

https://github.com/clguo/RSAN

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Residual Spatial Attention Network for Retinal Vessel Segmentation

https://github.com/clguo/SA-UNet

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SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation

https://github.com/conscienceli/IterNet

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IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks

https://github.com/crazorback/aadg

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AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation

https://github.com/deweihu/adaptdiff

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AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel Segmentation

https://github.com/endoluminalsurgicalvision-imr/acnorm

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AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization

https://github.com/eyened/rtnls_vascx_models

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VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus Images

https://github.com/frank-oy/hrefnet

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A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement

https://github.com/guomugong/BTS-DSN

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BTS-DSN: Deeply Supervised Neural Network with Short Connections for Retinal Vessel Segmentation

https://github.com/gykovacs/retina_vessel_segmentation

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A new baseline for retinal vessel segmentation: Numerical identification and correction of methodological inconsistencies affecting 100+ papers

https://github.com/iMED-Lab/OCTA-Net-OCTA-Vessel-Segmentation-Network

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Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs

https://github.com/j-morano/rrwnet

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RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification

https://github.com/juntang-zhuang/LadderNet

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LadderNet: Multi-path networks based on U-Net for medical image segmentation

https://github.com/limingxing00/retinal-vessel-segmentation-isbi2022

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Retinal Vessel Segmentation with Pixel-wise Adaptive Filters

https://github.com/lkpengcs/dcda

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Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning

https://github.com/lkpengcs/rvms

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Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation

https://github.com/nhjydywd/octa-frnet

공식 코드

An Accurate and Efficient Neural Network for OCTA Vessel Segmentation and a New Dataset

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