The classification of optical coherence tomography images using machine learning for macular hole and diabetic macular edema diagnoses.
Dang Nguyen PhuAnh Quang TranNgoc Quang TranTran Huy DangPublished in: ICCAIS (2023)
Keyphrases
- oct images
- optical coherence tomography
- machine learning
- retinal images
- confocal microscopy
- spectral domain
- motion artifacts
- fundus images
- pattern recognition
- imaging modalities
- region of interest
- image analysis
- automated segmentation
- feature extraction
- feature selection
- input image
- feature vectors
- three dimensional
- image processing
- computer vision
- blood vessels
- image data