Automated identification of SD-optical coherence tomography derived macular diseases by combining 3D-block-matching and deep learning techniques.
Ilhem MezniAmine Ben SlamaZouhair MbarkiHassen SeddikHedi TrabelsiPublished in: Comput. methods Biomech. Biomed. Eng. Imaging Vis. (2021)
Keyphrases
- optical coherence tomography
- deep learning
- block matching
- oct images
- motion estimation
- motion vectors
- retinal images
- unsupervised learning
- optical flow
- motion compensation
- imaging modalities
- automated segmentation
- video compression
- machine learning
- cross sections
- motion field
- inter frame
- coronary artery
- motion compensated
- weakly supervised
- mental models
- motion model
- video sequences
- cross section
- cross sectional
- feature extraction
- image sequences
- three dimensional
- image processing