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: Medical Imaging: Computer-Aided Diagnosis (2020)
Keyphrases
- oct images
- optical coherence tomography
- deep learning
- spectral domain
- fundus images
- motion artifacts
- image analysis
- segmentation method
- segmentation algorithm
- automated segmentation
- image features
- input image
- imaging modalities
- retinal images
- image segmentation
- optic disc
- test images
- coronary artery
- ground truth
- image data
- object recognition
- fully automatic
- medical imaging
- object detection
- active learning
- computer vision