OCT-NET: A convolutional network for automatic classification of normal and diabetic macular edema using sd-oct volumes.
Oscar J. PerdomoSebastian OtáloraFabio A. GonzálezFabrice MériaudeauHenning MüllerPublished in: ISBI (2018)
Keyphrases
- optical coherence tomography
- automatic classification
- sd oct
- retinal images
- convolutional network
- oct images
- convolutional neural networks
- motion artifacts
- imaging modalities
- blood vessels
- automatic detection
- coarse to fine
- coronary artery
- cross sections
- region of interest
- low contrast
- medical data
- three dimensional
- brain tumors
- feature extractor
- computer aided
- medical images