A Radiomics-Based Machine Learning Approach to Assess Collateral Circulation in Ischemic Stroke on Non-contrast Computed Tomography.
Mumu AktarYiming XiaoDonatella TampieriHassan RivazMarta Kersten-OertelPublished in: ML-CDS/CLIP@MICCAI (2020)
Keyphrases
- high quality
- computed tomography
- machine learning
- ct images
- medical images
- medical imaging
- image reconstruction
- ct scans
- contrast enhanced
- three dimensional
- ct data
- ischemic stroke
- computed tomography scans
- cone beam ct
- pattern recognition
- low dose
- image registration
- computer vision
- automatic detection
- image segmentation
- patient specific
- high resolution
- computational complexity
- lung cancer patients
- coronary artery disease
- medical image segmentation
- health care
- imaging modalities
- computer aided diagnosis
- knowledge discovery
- decision makers