会议论文

Jiang, QS

英文

2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN

2161-4393

2023

International Joint Conference on Neural Networks (IJCNN)

IEEE International Joint Conference on Neural Networks (IJCNN)

JUN 18-23, 2023

Broadbeach, AUSTRALIA

[Xia, Zhuoqun;Jiang, Qisheng;Hu, Hangyu] Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha, Peoples R China.^[Li, Wenjing] Hunan Normal Univ, Affiliated Hosp 1, Changsha, Peoples R China.^[Li, Wenjing] Guangxi Med Univ, Affiliated Hosp 1, Nanning, Peoples R China.^[Zhu, Chengzhang] Cent South Univ, Coll Literature & Journalism, Changsha, Peoples R China.^[Zhu, Chengzhang] Mobile Hlth Minist Educ China Mobile Joint Lab, Changsha, Peoples R China.^[Zou, Ziwei] Cent South Univ, Sch Comp Sci & Engn, Changsha, Peoples R China.

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-6654-8867-9

10.1109/IJCNN54540.2023.10191670

Scientific and Technological Innovation Leading Plan of High-tech Industry of Hunan Province [2020GK2021]

本校为第一且通讯机构

In recent years, there has been a great development in the research of automated detection of diabetic retinopathy, and deep learning algorithms have been more and more widely used in this field. In this paper, we propose a channel cross enhancement network based on a two-stream model for diabetic retinopathy severity grading for the detailed performance of diabetic retinopathy images on different channels (RGB). The model takes the features of the full-channel input image as global features and the features extracted from the green channel of the original image as local features, and the loca...