Conference proceeding
Retina lesion and microaneurysm segmentation using morphological reconstruction methods with ground-truth data
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Vol.2008, pp.5433-5436
2008
DOI: 10.1109/IEMBS.2008.4650443
PMID: 19163946
Abstract
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.
Details
- Title: Subtitle
- Retina lesion and microaneurysm segmentation using morphological reconstruction methods with ground-truth data
- Creators
- Thomas P Karnowski - Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA. karnowskitp@ornl.govV GovindasamyKenneth W TobinEdward ChaumM D Abramoff
- Resource Type
- Conference proceeding
- Publication Details
- Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Vol.2008, pp.5433-5436
- DOI
- 10.1109/IEMBS.2008.4650443
- PMID
- 19163946
- NLM abbreviation
- Conf Proc IEEE Eng Med Biol Soc
- eISBN
- 9781424418152; 1424418151
- ISSN
- 1557-170X
- eISSN
- 1558-4615
- Publisher
- United States
- Grant note
- R01-EY017065 / NEI NIH HHS R01 EY017065 / NEI NIH HHS
- Language
- English
- Date published
- 2008
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Ophthalmology and Visual Sciences
- Record Identifier
- 9983806290002771
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