Retinal Vascular Segmentation Network Based on Multi-Scale Adaptive Feature Fusion and Dual-Path Upsampling-Reference-Cited by-同舟云学术

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Retinal Vascular Segmentation Network Based on Multi-Scale Adaptive Feature Fusion and Dual-Path Upsampling

Published:2024 Issue: Volume:12 Page:48057-48067
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

He Zhenxiang¹^ORCID,Li Xiaoxia¹,Lv Nianzu²,Chen Yuling¹^ORCID,Cai Yong³

Affiliation:

1. School of Information Engineering, Southwest University of Science and Technology, Mianyang, China

2. School of Information Engineering, Xinjiang Institute of Technology, Aksu City, China

3. School of Manufacturing Science and Engineering, Southwest University of Science and Technology, Mianyang, China

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

School-Level Project of Xinjiang Institute of Technology

School-Level Project of Mianyang Teachers’ College

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10487926.pdf?arnumber=10487926

Reference42 articles.

1. Retinal Vessel Diameters and Risk of Impaired Fasting Glucose or Diabetes

2. Retinal Imaging and Image Analysis

3. Blood Vessel Segmentation in Pathological Retinal Image

4. U-Net: Convolutional Networks for Biomedical Image Segmentation

5. Attention U-Net: Learning where to look for the pancreas;Oktay;arXiv:1804.03999,2018

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