Retina Lesion and Microaneurysm Segmentation using Morphological Reconstruction Methods with Ground-Truth Data
Conference
·
OSTI ID:973116
- ORNL
In this work we report on a method for lesion segmentation based on the morphological reconstruction methods of Sbeh et. al. We adapt the method to include segmentation of dark lesions with a given vasculature segmentation. The segmentation is performed at a variety of scales determined using ground-truth data. Since the method tends to over-segment imagery, ground-truth data was used to create post-processing filters to separate nuisance blobs from true lesions. A sensitivity and specificity of 90% of classification of blobs into nuisance and actual lesion was achieved on two data sets of 86 images and 1296 images.
- Research Organization:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE; Work for Others (WFO)
- DOE Contract Number:
- DE-AC05-00OR22725
- OSTI ID:
- 973116
- Resource Relation:
- Conference: IEEE EMBS 2008, Vancouver, canada, 20080820, 20080824
- Country of Publication:
- United States
- Language:
- English
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