Name
Abstract | ||
|---|---|---|
This paper presents a disease-oriented evaluation of two recent retinal image registration algorithms, one for aligning pairs of retinal images and one for simultaneously aligning all images in a set. Medical conditions studied include diabetic retinopathy, vein occlusion, and both dry and wet age-related macular degeneration. The multi-image alignment worked virtually flawlessly, missing only 2 of 855 images. Pairwise registration, the Dual-Bootstrap ICP algorithm, worked nearly as well, successfully aligning 99.5% of the image pairs having a sufficient set of common features and 78.5% overall. Images of retinas having an edema and pairs of images taken before and after laser treatment proved the most difficult to register. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/978-3-540-39899-8_92 | LECTURE NOTES IN COMPUTER SCIENCE |
Field | DocType | Volume |
Computer vision,Pattern recognition,Computer science,Vein occlusion,Retinal image,Macular degeneration,Artificial intelligence,Retinal,Bootstrapping (electronics),Retinal image registration | Conference | 2878 |
ISSN | Citations | PageRank |
0302-9743 | 8 | 0.86 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chia-Ling Tsai | 1 | 442 | 23.18 |
| Anna Majerovics | 2 | 72 | 4.95 |
| Charles V. Stewart | 3 | 8 | 0.86 |
| Badrinath Roysam | 4 | 1890 | 113.97 |