Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography.
Oscar J. PerdomoHernán RiosFrancisco J. RodríguezJuan Sebastian Otálora MontenegroFabrice MériaudeauHenning MüllerFabio A. GonzálezPublished in: Comput. Methods Programs Biomed. (2019)
Keyphrases
- optical coherence tomography
- deep learning
- oct images
- machine learning
- unsupervised learning
- pattern recognition
- retinal images
- feature extraction
- motion artifacts
- imaging modalities
- fundus images
- feature selection
- feature vectors
- feature space
- model selection
- supervised learning
- active learning
- image analysis
- training set