Name
Abstract | ||
|---|---|---|
Changes of retinal blood vessel are precursors of many serious diseases such as diabetic retinopathy, hypertension and cardiovascular diseases. Automatic segmentation of retinal blood vessels in the fundus image can better assist in the diagnosis of these diseases and has been studied by many researchers. However, the segmentation of pale vessel pixels remains a problem because of their low contra... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-ipr.2017.1071 | IET Image Processing |
Keywords | Field | DocType |
biomedical optical imaging,blood vessels,diseases,eye,image segmentation,medical image processing | Diabetic retinopathy,Computer vision,Vessel segmentation,Pattern recognition,Segmentation,Pixel,Artificial intelligence,Retinal,Retinal blood vessels,Mathematics,Blood vessel,Fundus image | Journal |
Volume | Issue | ISSN |
12 | 8 | 1751-9659 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kejuan Yue | 1 | 2 | 0.74 |
| Beiji Zou | 2 | 231 | 41.61 |
| Zailiang Chen | 3 | 43 | 9.10 |
| Qing Liu | 4 | 19 | 3.99 |