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.
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.
This file desicribes widely-used fundus image datasets. Newly-released datasets not included in our original paper are showed in blue.
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.
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.