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: CoRR (2023)
Keyphrases
- computed tomography
- deep learning
- ct images
- lung parenchyma
- ct scans
- medical imaging
- cardiac ct
- motion artifacts
- x ray
- low dose
- medical images
- dual energy
- ct data
- patient specific
- image reconstruction
- computer tomography
- cone beam
- three dimensional
- lymph nodes
- unsupervised learning
- pulmonary embolism
- machine learning
- contrast enhanced
- coronary artery disease
- imaging modalities
- automatic segmentation
- image guided
- image registration
- automated segmentation
- anatomical structures
- lung cancer
- image analysis
- image processing
- low contrast
- region of interest
- treatment planning
- cardiac cycle
- magnetic resonance imaging
- intraoperative
- object detection
- magnetic resonance images
- completely automated
- high resolution
- computer aided diagnosis
- image segmentation
- computer vision