Name
Title | ||
|---|---|---|
Automatic Segmentation of Retinal Layer in OCT Images With Choroidal Neovascularization. |
Abstract | ||
|---|---|---|
Age-related macular degeneration is one of the main causes of blindness. However, the internal structures of retinas are complex and difficult to be recognized due to the occurrence of neovascularization. Traditional surface detection methods may fail in the layer segmentation. In this paper, a supervised method is reported for simultaneously segmenting layers and neovascularization. Three spatial... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIP.2018.2860255 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Retina,Image segmentation,Feature extraction,Training,Neural networks,Testing,Blindness | Computer vision,Optical coherence tomography,Choroidal neovascularization,Pattern recognition,Segmentation,Image segmentation,Feature extraction,Macular degeneration,Artificial intelligence,Retinal,Neovascularization,Mathematics | Journal |
Volume | Issue | ISSN |
27 | 12 | 1057-7149 |
Citations | PageRank | References |
3 | 0.40 | 12 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dehui Xiang | 1 | 17 | 2.40 |
| Haihong Tian | 2 | 5 | 2.12 |
| Xiaoling Yang | 3 | 3 | 0.40 |
| Fei Shi | 4 | 24 | 5.42 |
| Weifang Zhu | 5 | 22 | 3.91 |
| Hao-Yu Chen | 6 | 97 | 15.08 |
| Xinjian Chen | 7 | 39 | 7.50 |