Name
Title | ||
|---|---|---|
Optic Disk and Cup Segmentation Through Fuzzy Broad Learning System for Glaucoma Screening |
Abstract | ||
|---|---|---|
Glaucoma is an ocular disease that causes permanent blindness if not cured at an early stage. Cup-to-disk ratio (CDR), obtained by dividing the height of optic cup (OC) with the height of optic disk (OD), is a widely adopted metric used for glaucoma screening. Therefore, accurately segmenting OD and OC is crucial for calculating a CDR. Most methods have employed deep learning methods for the segmentation of OD and OC. However, these methods are very time consuming. In this article, we present a new fuzzy broad learning system-based technique for OD and OC segmentation with glaucoma screening. We comprehensively integrated extracting a region of interest from RGB images, data augmentation, extracting red and green channel images, and inputting them to the two separate fuzzy broad learning system-based neural networks for segmenting the OD and OC, respectively, and then calculated CDR. Experiments show that our fuzzy broad learning system-based technique outperforms many state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TII.2020.3000204 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Broad learning system (BLS),fuzzy system,neural networks,ocular disease,optic disk and cup,segmentation | Journal | 17 |
Issue | ISSN | Citations |
4 | 1551-3203 | 4 |
PageRank | References | Authors |
0.39 | 0 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Riaz Ali | 1 | 4 | 1.06 |
| Bin Sheng | 2 | 368 | 61.19 |
| Ping Li | 3 | 202 | 40.76 |
| Y. Cheng | 4 | 59 | 16.37 |
| Huating Li | 5 | 22 | 5.14 |
| Po Yang | 6 | 272 | 24.36 |
| Youn Hyun Jung | 7 | 17 | 4.11 |
| Jinman Kim | 8 | 504 | 65.66 |
| C L Philip Chen | 9 | 698 | 34.35 |