SEADNet: Deep learning driven segmentation and extraction of macular fluids in 3D retinal OCT scans.
Bilal HassanShiyin QinRamsha AhmedPublished in: ISSPIT (2020)
Keyphrases
- oct images
- deep learning
- optical coherence tomography
- unsupervised learning
- retinal images
- fundus images
- unsupervised feature learning
- machine learning
- imaging modalities
- automatic extraction
- training data
- image processing
- mental models
- high dimensional
- coronary artery
- object recognition
- cross sections
- automated segmentation
- data mining