Abstract
We report a novel prototype algorithm using contextual knowledge to locate ischemic regions in ultra-wide-field-of-view retinal fluorescein angiograms. We use high-resolution images acquired by an Optos ultra-wide-field-of-view (more than 200 degrees) scanning laser ophthalmoscope. We leverage the simultaneous occurrence of ischemia with a number of other signs, detected automatically, typical for the state of progress of the condition in a diabetic patient The specific nature of ischemic and non-ischemic regions is determined with an AdaBoost learning algorithm. Preliminary results demonstrate above 80% pixel classification accuracy against manual annotations. © 2007 IEEE.
| Original language | English |
|---|---|
| Title of host publication | 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 |
| Pages | 6739-6742 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2007 |
| Event | 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society - Lyon, France Duration: 23 Aug 2007 → 26 Aug 2007 |
Conference
| Conference | 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society |
|---|---|
| Abbreviated title | EMBC'07 |
| Country/Territory | France |
| City | Lyon |
| Period | 23/08/07 → 26/08/07 |