Name
Title | ||
|---|---|---|
Automatic cyst detection in OCT retinal images combining region flooding and texture analysis |
Abstract | ||
|---|---|---|
In this work Optical Coherence Tomography (OCT) retinal images are automatically processed to detect the presence of cysts. The methodology is composed by three phases: region of interest where cysts will be searched is delimited; a watershed algorithm is applied to find all the possible regions in the image which might conform cystic structures; finally, texture analysis is performed in each region from previous phase to final classification. Results show that accuracy achieved with this method is over 80%. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CBMS.2013.6627825 | Computer-Based Medical Systems |
Keywords | Field | DocType |
biomedical optical imaging,eye,image classification,image texture,medical image processing,OCT retinal image classification,OCT retinal image texture analysis,automatic cyst detection,cystic structure,image region flooding analysis,optical coherence tomography,region of interest,watershed algorithm | Computer vision,Optical coherence tomography,Image texture,Computer science,Artificial intelligence,Retinal,Region of interest,Contextual image classification,Cyst | Conference |
Citations | PageRank | References |
3 | 0.52 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ana González | 1 | 6 | 0.97 |
| Beatriz Remeseiro | 2 | 50 | 11.87 |
| M Ortega | 3 | 235 | 37.13 |
| Manuel G. Penedo | 4 | 185 | 35.91 |
| P. Charlon | 5 | 3 | 0.52 |