Hybrid RA<sup>2</sup>-Net: Residual Atrous Attention Network for Vessel Classification using Fundus Images-Reference-Cited by-同舟云学术

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Hybrid RA²-Net: Residual Atrous Attention Network for Vessel Classification using Fundus Images

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems (ICAECIS)
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Author:

P Geetha Pavani¹,Biswal Birendra²,Gandhi Tapan Kumar³,T Krishna⁴

Affiliation:

1. Sankar Foundation Eye Hospital & Institute,Department of EE, IIT Delhi (&) Department of CQI & Research,Visakhapatnam,India

2. GVP College of Engineering (A),Center for Medical Imaging Studies (CMIS),Department of ECE,Visakhapatnam,India

3. IIT,Department of EE,Delhi,India

4. Sankar Foundation Eye Hospital & Institute,Department of Vitroeus Retina,Visakhapatnam,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10169132/10169913/10170331.pdf?arnumber=10170331

Reference23 articles.

1. DGCU–Net: A new dual gradient-color deep convolutional neural network for efficient skin lesion segmentation

2. SBDF-Net: A versatile dual-branch fusion network for medical image segmentation

3. Simultaneous Arteriole and Venule Segmentation of Dual-Modal Fundus Images Using a Multi-Task Cascade Network

4. Decision support system for detection of hypertensive retinopathy using arteriovenous ratio

5. Robust retinal blood vessel segmentation using line detectors with multiple masks

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