Deep learning in computed tomography pulmonary angiography imaging: A dual-pronged approach for pulmonary embolism detection.
Fabiha BushraMuhammad E. H. ChowdhuryRusab SarmunSaidul KabirMenatalla SaidSohaib Bassam ZoghoulAdam MushtakIsraa Al-HashimiAbdulrahman AlqahtaniAnwarul HasanPublished in: Expert Syst. Appl. (2024)
Keyphrases
- computed tomography
- deep learning
- ct images
- lung parenchyma
- medical imaging
- ct scans
- motion artifacts
- cardiac ct
- x ray
- low dose
- cone beam
- medical images
- computer tomography
- image reconstruction
- dual energy
- contrast enhanced
- pulmonary embolism
- ct data
- coronary artery disease
- patient specific
- machine learning
- three dimensional
- image analysis
- image guided
- unsupervised learning
- computer aided diagnosis
- anatomical structures
- image processing
- lymph nodes
- object detection
- lung nodules
- pulmonary nodules
- imaging modalities
- image segmentation
- region of interest
- feature selection
- cardiac cycle
- magnetic resonance imaging
- treatment planning
- automated segmentation
- low contrast
- optical coherence tomography
- magnetic resonance images
- automatic segmentation
- partial occlusion
- remote sensing
- graph cuts
- multiscale