A Framework for Identifying Diabetic Retinopathy Based on patch attention and lesion location-Reference-Cited by-同舟云学术

A Framework for Identifying Diabetic Retinopathy Based on patch attention and lesion location

Published:2023-06-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Joint Conference on Neural Networks (IJCNN)
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Author:

Xia Zhuoqun¹,Hu Hangyu¹,Li Wenjing²,Jiang Qisheng¹,Zhu Chengzhang³,Zou Ziwei⁴

Affiliation:

1. School of Computer and communication engineering, Changsha University of Science and Technology,Changsha,China

2. Hunan Province People's Hospital (The First Affiliated Hospital of Hunan Normal University),Changsha,China

3. The College of Literature and Journalism, Central South University Mobile Health Ministry of Education China Mobile Joint Laboratory,Changsha,China

4. School of Computer Science and Engineering, Central South University,Changsha,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191557.pdf?arnumber=10191557

Reference27 articles.

1. DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images

2. Diabetic Retinopathy Diagnosis Using Multichannel Generative Adversarial Network With Semisupervision

3. Viewpoint-Aware Attentive Multi-view Inference for Vehicle Re-identification;yi;Proc IEEE Conf Comput Vis Pattern Recog,0

4. Vehicle Re-Identification by Deep Hidden Multi-View Inference

5. Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy

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1. Patch-Based Multi-Level Attention Mechanism for Few-Shot Multi-Label Medical Image Classification;2023 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC);2023-11-02