Name
Abstract | ||
|---|---|---|
The number of people suffering from ophthalmic diseases is increasing with the population aging. Many studies have been proposed to automatically identify diseases to reduce the risks of further retinal damage. However, most of existing methods mainly used a single type of dataset to solve the specific medical task, which is not clinically practical in the realworld scenarios. In this paper, we pr... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICDH52753.2021.00029 | 2021 IEEE International Conference on Digital Health (ICDH) |
Keywords | DocType | ISBN |
Deep learning,Neural networks,Sociology,Semantics,Retina,Feature extraction,Task analysis | Conference | 978-1-6654-1685-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Linna Zhao | 1 | 0 | 1.35 |
| Jianqiang Li | 2 | 47 | 4.44 |
| Zerui Ma | 3 | 0 | 0.34 |
| Yu Guan | 4 | 4 | 2.76 |
| Xi Xu | 5 | 8 | 3.32 |
| Xiaoxi Wang | 6 | 0 | 0.34 |
| Li Li | 7 | 0 | 0.34 |