Improving Automated Tissue Characterization in Optical Coherence Tomography by Melding Attenuation Compensation with Deep Learning.
Yanan NiuMax L. OlenderDavid MarleviFarhad Rikhtegar NezamiElazer R. EdelmanPublished in: BHI (2021)
Keyphrases
- deep learning
- optical coherence tomography
- tissue characterization
- imaging modalities
- medical images
- low contrast
- unsupervised learning
- machine learning
- medical image analysis
- medical data
- medical imaging
- clinical trials
- mental models
- anatomical structures
- intraoperative
- retinal images
- coronary artery
- image guided
- blood vessels
- automated segmentation
- ct images
- computer assisted
- expert systems
- computer vision