Elastic deformation of optical coherence tomography images of diabetic macular edema for deep-learning models training: how far to go?
Daniel Bar-DavidLaura Bar-DavidYinon ShapiraRina LeibuDalia DoriRonit SchneorAnath FischerShiri SoudryPublished in: CoRR (2021)
Keyphrases
- oct images
- optical coherence tomography
- learning models
- motion artifacts
- retinal images
- input image
- learning algorithm
- image features
- image registration
- image analysis
- semi supervised learning
- region of interest
- imaging modalities
- machine learning algorithms
- fully automatic
- image classification
- object recognition
- magnetic resonance images
- training set
- automated segmentation
- machine learning
- computer vision
- learning tasks
- loss function
- markov random field