Meta-learning-based retinal pathology classification from optical coherence tomography images.
Ziting YinXinjian ChenWeifang ZhuDehui XiangQing PengFei ShiPublished in: Medical Imaging: Image Processing (2023)
Keyphrases
- optical coherence tomography
- oct images
- meta learning
- image classification
- spectral domain
- motion artifacts
- image analysis
- model selection
- fundus images
- learning tasks
- machine learning
- machine learning algorithms
- retinal images
- inductive learning
- segmentation method
- input image
- feature selection
- feature vectors
- decision trees
- machine learning methods
- support vector
- image segmentation
- image registration
- image features
- classification accuracy
- feature space
- feature extraction
- knowledge acquisition
- supervised learning
- benchmark datasets
- support vector machine
- automated segmentation