Name
Abstract | ||
|---|---|---|
Retinal blood vessel assessment plays an important role in the diagnosis of ophthalmic pathologies. The use of digital images for this purpose enables the application of a computerized approach and has fostered the development of multiple methods for automated vascular tree segmentation. Metrics based on contingency tables for binary classification have been widely used for evaluating the performa... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TMI.2011.2167982 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Image segmentation,Measurement,Humans,Manuals,Retinal vessels,Biomedical imaging,Educational institutions | Computer vision,Binary classification,Medical imaging,Segmentation,Computer science,Failure rate,Image segmentation,Digital image,Artificial intelligence,Pixel,Visual perception | Journal |
Volume | Issue | ISSN |
31 | 2 | 0278-0062 |
Citations | PageRank | References |
15 | 0.77 | 29 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manuel Emilio Gegúndez Arias | 1 | 157 | 9.00 |
| Arturo Aquino | 2 | 130 | 9.54 |
| j m bravo | 3 | 277 | 10.64 |
| Diego Marin | 4 | 162 | 9.70 |