Presentations:
Retinal vessel segmentation using multi-scale wavelet frame analysis
Noah Lee; Andrew F. Laine; R. Theodore Smith; Mihai Busuoic
Downloads:
- Title:
- Retinal vessel segmentation using multi-scale wavelet frame analysis
- Author(s):
-
Lee, Noah
Laine, Andrew F.
Smith, R. Theodore
Busuoic, Mihai - Date:
- 2007
- Type:
- Presentations
- Department:
- Biomedical Engineering
- Permanent URL:
- http://hdl.handle.net/10022/AC:P:9507
- Abstract:
- Fundus imaging is a non-invasive technique for in vivo ophthalmoscopic inspection of retinal disorders. Quantitative information about the vascular network can facilitate clinical diagnosis of retinal diseases [1]. Goal: Segmentation of the vascular network in fundus images for further quantification and post processing as a binary classification into object and background. Approach: We perform an over-complete multi-scale wavelet frame expansion with selective channel rejection in the decomposition tree. Remaining channels undergo wavelet shrinkage and enhancement to separate retinal objects from background. Results: Comparison to expert gradings on a pixel by pixel basis show mean sensitivity and specificity of 0.8 and 0.9.
- Subject(s):
- Biomedical engineering
- Item views:
- 119