https://github.com/nkicsl/Fundus_Review
Official website of our paper: Applications of Deep Learning in Fundus Images: A Review. Newly-released datasets and recently-published papers will be updated regularly.
https://github.com/nkicsl/Fundus_Review
age-related-macular-degeneration blood-vessel-segmentation deep-learning diabetic-retinopathy disease-diagnosis fundus-images glaucoma image-synthesis lesion-segmentation medical-imaging od-oc-segmentation retinal-images
Last synced: 5 months ago
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Official website of our paper: Applications of Deep Learning in Fundus Images: A Review. Newly-released datasets and recently-published papers will be updated regularly.
- Host: GitHub
- URL: https://github.com/nkicsl/Fundus_Review
- Owner: nkicsl
- Created: 2020-10-05T03:16:53.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2022-02-13T03:13:50.000Z (over 4 years ago)
- Last Synced: 2025-12-08T17:37:19.157Z (7 months ago)
- Topics: age-related-macular-degeneration, blood-vessel-segmentation, deep-learning, diabetic-retinopathy, disease-diagnosis, fundus-images, glaucoma, image-synthesis, lesion-segmentation, medical-imaging, od-oc-segmentation, retinal-images
- Homepage:
- Size: 6.66 MB
- Stars: 92
- Watchers: 4
- Forks: 11
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Fundus_Review
This repository will update contents not included in our previous paper, including descriptions of newly-released fundus image datasets and latest experimental results
with their settings.
The pdf file of our paper: "Applications of Deep Learning in Fundus Images: A Review" is also presented.
If there are any questions, please contact bowang@mail.nankai.edu.cn.
One can also turn to https://ics.nankai.edu.cn/ (in Chinese) to see more related researches of our NKICS lab.
# Paper
This is the pdf file of our paper: "Applications of Deep Learning in Fundus Images: A Review" accepted by Medical Image Analysis. You can also download it through https://www.sciencedirect.com/science/article/abs/pii/S1361841521000177 or https://arxiv.org/abs/2101.09864.
# Datasets
This file desicribes widely-used fundus image datasets. Newly-released datasets not included in our original paper are showed in blue.
# Experimental results
This file desicribes experimental results of recent works worth noticing. Latest results not included in our original paper are showed in blue. References of newly-added papers are linked to their online publications.
# Citation
Please cite this paper as: Tao Li, Wang Bo, Chunyu Hu, Hong Kang, Hanruo Liu, Kai Wang, Huazhu Fu. Applications of Deep Learning in Fundus Images: A Review. Medical Image Analysis, 2021.