Name
Title | ||
|---|---|---|
Automatic photoreceptor detection in in-vivo adaptive optics retinal images: statistical validation |
Abstract | ||
|---|---|---|
This article presents a photoreceptor detection algorithm applied to in-vivo Adaptive Optics (AO) images of the retina obtained from an advanced ophthalmic diagnosis device. Our algorithm is based on a recursive construction of thresholded connected components when the seeds of the recursions are the regional maxima of the deconvoluted image. This algorithm is validated on a gold standard dataset obtained thanks to manual cones detections made by ophtalmologist physicians. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-31298-4_48 | ICIAR (2) |
Keywords | Field | DocType |
regional maximum,ophtalmologist physician,manual cone,automatic photoreceptor detection,in-vivo adaptive,thresholded connected component,deconvoluted image,retinal image,statistical validation,photoreceptor detection algorithm,gold standard dataset,advanced ophthalmic diagnosis device,recursive construction,adaptive optics | Computer vision,Pattern recognition,Computer science,Retina,Artificial intelligence,Connected component,Retinal,Recursion,Adaptive optics | Conference |
Volume | ISSN | Citations |
7325 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 3 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kevin Loquin | 1 | 50 | 5.74 |
| Isabelle Bloch | 2 | 2123 | 170.75 |
| Kiyoko Nakashima | 3 | 0 | 0.34 |
| Florence Rossant | 4 | 133 | 15.22 |
| Pierre-Yves Boelle | 5 | 0 | 0.34 |
| Michel Paques | 6 | 31 | 6.30 |