Conference proceeding
Evaluating the Accuracy of Optic Nerve Detections in Retina Imaging Using Complementary Methods
World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, pp.160-163
IFMBE Proceedings
2009
DOI: 10.1007/978-3-642-03891-4_43
Abstract
The detection of the optic nerve in retina images is a key element of detecting the anatomical structure of the retina. In this work we report on the fusion of two complementary optic nerve detection methods. The methods are complementary in the sense that they use different fundamental queues for locating the optic nerve. By fusing the methods through applying simple distance-based threshold, a confidence level may be assigned to the quality of the optic nerve detection. In a practical screening system this metric can be used to determine if the images should be immediately reviewed by a physician or if further automatic processing is feasible. We report on the results for two different data sets and show that the use of the threshold improves detection quality.
Details
- Title: Subtitle
- Evaluating the Accuracy of Optic Nerve Detections in Retina Imaging Using Complementary Methods
- Creators
- T. P Karnowski - Oak Ridge National Laboratory, Oak Ridge, USAD Aykac - Oak Ridge National Laboratory, Oak Ridge, USAE Chaum - Hamilton Eye Institute, U. Tennessee Health Sciences Center, Memphis, USAL Giancardo - Oak Ridge National Laboratory, Oak Ridge, USAY Li - Hamilton Eye Institute, U. Tennessee Health Sciences Center, Memphis, USAK. W Tobin - Oak Ridge National Laboratory, Oak Ridge, USAM. D Abramoff - University of Iowa, Iowa City, USA
- Resource Type
- Conference proceeding
- Publication Details
- World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, pp.160-163
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Series
- IFMBE Proceedings
- DOI
- 10.1007/978-3-642-03891-4_43
- eISSN
- 1433-9277
- ISSN
- 1680-0737
- Language
- English
- Date published
- 2009
- Academic Unit
- Ophthalmology and Visual Sciences; Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Fraternal Order of Eagles Diabetes Research Center
- Record Identifier
- 9984060740802771
Metrics
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