Name
Abstract | ||
|---|---|---|
Retinal vessel extraction has become an important task of medical image processing applications in order to diagnose ocular diseases. In this paper, a novel methodology is proposed to extract vessels automatically from retinal angiographies. The proposed methodology has been implemented by means of Cellular Neural Networks techniques to take advantage of their capabilities of massively parallel processing reducing computation time required. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11552499_19 | ICAPR (2) |
Keywords | Field | DocType |
important task,novel methodology,proposed methodology,computation time,medical image processing application,retinal vessel extraction,parallel processing,cellular neural networks technique,ocular disease,retinal angiographies,massively parallel processing,cellular neural network | Active contour model,Computer vision,Pattern recognition,Massively parallel,Parallel algorithm,Computer science,Parallel processing,Image processing,Artificial intelligence,Retinal,Artificial neural network,Cellular neural network | Conference |
Volume | ISSN | ISBN |
3687 | 0302-9743 | 3-540-28833-3 |
Citations | PageRank | References |
1 | 0.34 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| C. Alonso-Montes | 1 | 24 | 1.52 |
| D. L. Vilariño | 2 | 42 | 4.34 |
| Manuel G. Penedo | 3 | 284 | 24.93 |