Automated Hemorrhage Detection from Coarsely Annotated Fundus Images in Diabetic Retinopathy-Reference-Cited by-同舟云学术

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Automated Hemorrhage Detection from Coarsely Annotated Fundus Images in Diabetic Retinopathy

Published:2020-04 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)
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Author:

Huang Yijin,Lin Li,Li Meng,Wu Jiewei,Cheng Pujin,Wang Kai,Yuan Jin,Tang Xiaoying

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9091448/9098313/09098319.pdf?arnumber=9098319

Cited by 27 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. An attentional mechanism model for segmenting multiple lesion regions in the diabetic retina;Scientific Reports;2024-09-12

2. Colour Image Enhancement Model of Retinal Fundus Image for Diabetic Retinopathy Recognition;Journal of Information and Communication Technology;2024-04-30

3. Diabetic retinopathy lesion segmentation using deep multi-scale framework;Biomedical Signal Processing and Control;2024-02

4. A Systematic Review on Fundus Image-Based Diabetic Retinopathy Detection and Grading: Current Status and Future Directions;IEEE Access;2024

5. A Lightweight UNet with Inverted Residual Blocks for Diabetic Retinopathy Lesion Segmentation;Communications in Computer and Information Science;2024

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