Abstract: 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: Bildverarbeitung für die Medizin (2020)
Keyphrases
- oct images
- optical coherence tomography
- deep learning
- spectral domain
- fundus images
- motion artifacts
- image analysis
- retinal images
- automated segmentation
- imaging modalities
- test images
- segmentation method
- segmentation algorithm
- unsupervised learning
- input image
- cross sections
- three dimensional
- fully automatic
- optic disc
- ground truth
- image data
- data mining
- contrast enhancement
- natural images
- object recognition