Name
Title | ||
|---|---|---|
BFENet: A two-stream interaction CNN method for multi-label ophthalmic diseases classification with bilateral fundus images |
Abstract | ||
|---|---|---|
•We propose a two-stream interactive CNN architecture for multi-label ophthalmic diseases classification with bilateral fundus images.•We design a feature enhancement module by using the attention mechanism to learn the interdependence between local and global information, which enhances the extracted feature under the two-stream interactive architecture.•A multiscale module is designed to enriches the feature maps by superimposing feature information of different resolutions images extracted through dilated convolution. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.cmpb.2022.106739 | Computer Methods and Programs in Biomedicine |
Keywords | DocType | Volume |
Ocular disease classification,Feature enhancement,Patient-level diagnosis,Multi-label,Convolutional neural network | Journal | 219 |
ISSN | Citations | PageRank |
0169-2607 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xingyuan Ou | 1 | 0 | 0.34 |
| Li Gao | 2 | 0 | 0.68 |
| Xiongwen Quan | 3 | 3 | 3.08 |
| Han Zhang | 4 | 7 | 5.29 |
| Jinglong Yang | 5 | 0 | 0.34 |
| Wei Li | 6 | 21 | 15.30 |