Comparison of training strategies for the segmentation of retina layers in optical coherence tomography images of rodent eyes using convolutional neural networks.
Antong ChenCharlene Zhi Lin OngWeiwei LuoChen Fei LeeSer Mien ChiaJoana GalvaoDaniel MetzgerEric GiffordChih-Liang ChinAsad Abu Bakar AliPublished in: Medical Imaging: Image Processing (2020)
Keyphrases
- oct images
- optical coherence tomography
- fundus images
- segmentation algorithm
- spectral domain
- retinal images
- segmentation method
- image analysis
- edge detection
- convolutional neural networks
- input image
- motion artifacts
- automated segmentation
- optic nerve
- segmented images
- imaging modalities
- segmentation accuracy
- optic disc
- microscopy images
- convolutional network
- blood vessels
- fully automatic
- segmentation scheme
- volumetric images
- medical images
- coronary artery
- region of interest
- medical imaging
- image registration
- three dimensional
- image segmentation