Retinal vessel segmentation using multi-scale wavelet frame analysis
Noah Lee; Andrew F. Laine; R. Theodore Smith; Mihai Busuoic
- Retinal vessel segmentation using multi-scale wavelet frame analysis
Laine, Andrew F.
Smith, R. Theodore
- Biomedical Engineering
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- 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 . 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.
- Biomedical engineering
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