Dual-Path and Multi-Scale Enhanced Attention Network for Retinal Diseases Classification Using Ultra-Wide-Field Images

Author:

Chen Fangsheng1ORCID,Ma Shaodong2,Hao Jinkui2ORCID,Liu Mengting3,Gu Yuanyuan2,Yi Quanyong4,Zhang Jiong2ORCID,Zhao Yitian2ORCID

Affiliation:

1. School of Mechanical and Engineering, Zhejiang University of Technology, Hangzhou, China

2. Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China

3. School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China

4. The Affiliated Ningbo Eye Hospital of Wenzhou Medical University, Ningbo, China

Funder

National Natural Science Foundation Program of China

Zhejiang Provincial Natural Science Foundation

Ningbo Natural Science Foundation

Youth Innovation Promotion Association CAS

Ningbo University of Technology

2025 S&T Megaprojects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automatic multi-disease classification on retinal images using multilevel glowworm swarm convolutional neural network;Journal of Engineering and Applied Science;2024-01-29

2. Detection of Retinal Diseases Using Advanced Deep Learning Algorithms;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15

3. DP-ProtoNet: An interpretable dual path prototype network for medical image diagnosis;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01

4. Early Diagnosis of Cataract and Diabetic Retinopathy for Rural India using a Cloud-Based Deep Learning Model;2023 International Conference on Advanced Computing Technologies and Applications (ICACTA);2023-10-06

5. Joint ordinal regression and multiclass classification for diabetic retinopathy grading with transformers and CNNs fusion network;Applied Intelligence;2023-09-14

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