Automated Layer Segmentation of Retinal Optical Coherence Tomography Images Using a Deep Feature Enhanced Structured Random Forests Classifier.
Xiaoming LiuTianyu FuZhifang PanDong LiuWei HuJun LiuKai ZhangPublished in: IEEE J. Biomed. Health Informatics (2019)
Keyphrases
- oct images
- optical coherence tomography
- random forests
- spectral domain
- fundus images
- automated segmentation
- motion artifacts
- image analysis
- decision trees
- image features
- retinal images
- random forest
- imaging modalities
- segmentation method
- feature set
- segmentation algorithm
- feature space
- input image
- volumetric images
- fully automatic
- logistic regression
- coronary artery
- machine learning algorithms
- ensemble methods
- image classification
- medical images
- optic disc
- text categorization
- feature selection