Automated segmentation of retinal fluid volumes from structural and angiographic optical coherence tomography using deep learning.
Yukun GuoTristan T. HormelHonglian XiongJie WangThomas S. HwangYali JiaPublished in: CoRR (2020)
Keyphrases
- automated segmentation
- deep learning
- optical coherence tomography
- oct images
- ct scans
- x ray
- coronary artery
- segmentation method
- manual segmentation
- unsupervised learning
- machine learning
- clinical applications
- automatic segmentation
- ground truth
- imaging modalities
- statistical shape model
- segmentation accuracy
- pairwise
- three dimensional
- object recognition
- feature selection