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Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels
Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels
- Source :
- IEEE Transactions on Medical Imaging. 22:951-958
- Publication Year :
- 2003
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2003.
-
Abstract
- We describe an automated method to locate the optic nerve in images of the ocular fundus. Our method uses a novel algorithm we call fuzzy convergence to determine the origination of the blood vessel network. We evaluate our method using 31 images of healthy retinas and 50 images of diseased retinas, containing such diverse symptoms as tortuous vessels, choroidal neovascularization, and hemorrhages that completely obscure the actual nerve. On this difficult data set, our method achieved 89% correct detection. We also compare our method against three simpler methods, demonstrating the performance improvement. All our images and data are freely available for other researchers to use in evaluating related methods.
- Subjects :
- genetic structures
Computer science
Fundus (eye)
Sensitivity and Specificity
Fuzzy logic
Retina
Pattern Recognition, Automated
Fuzzy Logic
Retinal Diseases
Image Interpretation, Computer-Assisted
medicine
Humans
Computer vision
Electrical and Electronic Engineering
Radiological and Ultrasound Technology
business.industry
Reproducibility of Results
Retinal Vessels
Optic Nerve
Image segmentation
Image Enhancement
eye diseases
Retinal image
Computer Science Applications
Ophthalmoscopy
Data set
Choroidal neovascularization
medicine.anatomical_structure
Fuzzy convergence
Optic nerve
sense organs
Artificial intelligence
medicine.symptom
business
Algorithms
Software
Blood vessel
Subjects
Details
- ISSN :
- 02780062
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Medical Imaging
- Accession number :
- edsair.doi.dedup.....a6b963ffc0925385026a4b6c3b5797fe
- Full Text :
- https://doi.org/10.1109/tmi.2003.815900