Graph Adversarial Transfer Learning for Diabetic Retinopathy Classification-Reference-Cited by-同舟云学术

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Graph Adversarial Transfer Learning for Diabetic Retinopathy Classification

Published:2022 Issue: Volume:10 Page:119071-119083
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hu Jingbo¹^ORCID,Wang Huan²^ORCID,Wang Le³^ORCID,Lu Ye²^ORCID

Affiliation:

1. School of Electronic and Electrical Engineering, Baoji University of Arts and Sciences, Baoji, China

2. School of Computer Science and Technology, Baoji University of Arts and Sciences, Baoji, China

3. School of Chemistry and Chemical Engineering, Baoji University of Arts and Sciences, Baoji, Shaanxi, China

Funder

National Natural Science Foundation of China

Shaanxi Science and Technology Commission

Innovation Capability Support Program of Shaanxi

Innovation Research and Development Team of BUAS on Qinling Medicinal Plants and Functional Organic Molecules

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09943294.pdf?arnumber=9943294

Reference58 articles.

1. Squeeze-and-Excitation Networks

2. Deep adversarial domain adaptation for breast cancer screening from mammograms

3. Domain Adaptation via Transfer Component Analysis

4. Diabetic Retinopathy Diagnosis Based on RA-EfficientNet

Cited by 10 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. Optical imaging for diabetic retinopathy diagnosis and detection using ensemble models;Photodiagnosis and Photodynamic Therapy;2024-08

2. A multi-resolution convolutional attention network for efficient diabetic retinopathy classification;Computers and Electrical Engineering;2024-07

3. Diabetic retinopathy prediction based on vision transformer and modified capsule network;Computers in Biology and Medicine;2024-06

4. Exploring Deep Learning Methods for Diabetic Retinopathy Detection and Classification;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

5. A refined ResNet18 architecture with Swish activation function for Diabetic Retinopathy classification;Biomedical Signal Processing and Control;2024-02

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