Multi layer segmentation method for ophthalmic OCT images based on Gabor filtering
Abstract
References
Index Terms
- Multi layer segmentation method for ophthalmic OCT images based on Gabor filtering
Recommendations
Automatic choroid layer segmentation in OCT images via context efficient adaptive network
AbstractOptical Coherence Tomography (OCT) is a non-invasive and newly-developing technique to image human retina and choroid. Many ocular diseases such as pathological myopia and Age-related Macular Degeneration (AMD) are related to the morphological ...
Automated segmentation of macular layers in OCT images and quantitative evaluation of performances
Optical coherence tomography (OCT) allows high-resolution and noninvasive imaging of the structure of the retina in humans. This technique revolutionized the diagnosis of retinal diseases in routine clinical practice. Nevertheless, quantitative analysis ...
A Segmentation Method of Coronary Angiograms Based on Multi-scale Filtering and Region-Growing
ICBEB '12: Proceedings of the 2012 International Conference on Biomedical Engineering and BiotechnologyIn this paper, we propose a simple and powerful method for segmentation of the coronary artery in angiograms, which combines Hessian matrix multi-scale filtering and region-growing. In this method, Hessian matrix multi-scale filtering is used to enhance ...
Comments
Information & Contributors
Information
Published In
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 12Total Downloads
- Downloads (Last 12 months)11
- Downloads (Last 6 weeks)1
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format