Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images.
Tan Hung PhamSripad Krishna DevallaAloysius AngSoh Zhi DaAlexandre H. ThieryCraig BooteChing Yu ChengVictor KohMichael J. A. GirardPublished in: CoRR (2019)
Keyphrases
- optical coherence tomography
- image data
- confocal microscopy
- image analysis
- oct images
- input image
- three dimensional
- spectral domain
- region of interest
- image structure
- accurate segmentation
- ground truth
- segmentation algorithm
- segmentation method
- edge detection
- frequency domain
- contrast enhancement
- automated segmentation
- motion artifacts
- fundus images
- high resolution
- image registration