Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning.
Timo KeppHelge SudkampClaus von der BurchardHendrik SchenkePeter KochGereon HüttmannJohann RoiderMattias P. HeinrichHeinz HandelsPublished in: CoRR (2020)
Keyphrases
- oct images
- optical coherence tomography
- deep learning
- spectral domain
- motion artifacts
- fundus images
- segmentation algorithm
- imaging modalities
- image analysis
- segmentation method
- retinal images
- test images
- automated segmentation
- three dimensional
- medical images
- volumetric images
- co occurrence
- ground truth
- image data
- pattern recognition
- coronary artery
- feature extraction