OCTA Retinal Vessel Segmentation Based on Vessel Thickness Inconsistency Loss
Author:
Affiliation:
1. Wuhan University of Science and Technology,School of Computer Science and Technology,Wuhan,China,430065
2. George Mason University,College of Health and Human Services,Department of Health Administration and Policy,Fairfax,Virginia,USA,22030
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9897158/9897159/09897486.pdf?arnumber=9897486
Reference28 articles.
1. CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation
2. Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images
3. Image Projection Network: 3D to 2D Image Segmentation in OCTA Images
4. ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model
5. Automatic fluid segmentation in retinal optical coherence tomography images using attention based deep learning
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