Multi-context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT
- 26 September 2018
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar TransformationIEEE Transactions on Medical Imaging, 2018
- Segmentation and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment OCTIEEE Transactions on Medical Imaging, 2017
- Automatic anterior chamber angle structure segmentation in AS-OCT image based on label transfer2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016
- Deep learningNature, 2015
- Rich Feature Hierarchies for Accurate Object Detection and Semantic SegmentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- Classification Algorithms Based on Anterior Segment Optical Coherence Tomography Measurements for Detection of Angle ClosureOphthalmology, 2013
- Multi-column deep neural networks for image classificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- Automatic Anterior Chamber Angle Assessment for HD-OCT ImagesIEEE Transactions on Biomedical Engineering, 2011
- Association of Narrow Angles With Anterior Chamber Area and Volume Measured With Anterior-Segment Optical Coherence TomographyAmerican Journal of Ophthalmology, 2011
- Anterior chamber angle imaging with optical coherence tomographyEye, 2011