Name
Title | ||
|---|---|---|
JointRCNN: A Region-based Convolutional Neural Network for Optic Disc and Cup Segmentation. |
Abstract | ||
|---|---|---|
Objective: The purpose of this paper is to propose a novel algorithm for joint optic disc and cup segmentation, which aids the glaucoma detection. Methods: By assuming the shapes of cup and disc regions to be elliptical, we proposed an end-to-end region-based convolutional neural network for joint optic disc and cup segmentation (referred to as JointRCNN). Atrous convolution is introduced to boost... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TBME.2019.2913211 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Biomedical optical imaging,Optical imaging,Optical fiber networks,Image segmentation,Optical computing,Proposals,Feature extraction | Computer vision,Glaucoma,Convolutional neural network,Segmentation,Computer science,Optic disc,Feature extraction,Artificial intelligence,Optic cup (anatomical),Ellipse,Minimum bounding box | Journal |
Volume | Issue | ISSN |
67 | 2 | 0018-9294 |
Citations | PageRank | References |
3 | 0.37 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuming Jiang | 1 | 878 | 88.36 |
| Lixin Duan | 2 | 1249 | 54.83 |
| Jun Cheng | 3 | 214 | 20.65 |
| Zaiwang Gu | 4 | 85 | 5.88 |
| Hu Xia | 5 | 3 | 0.37 |
| Huazhu Fu | 6 | 1235 | 65.07 |
| Changsheng Li | 7 | 3 | 0.37 |
| Jiang Liu | 8 | 299 | 42.50 |