Automated detection and segmentation of pulmonary embolisms on computed tomography pulmonary angiography (CTPA) using deep learning but without manual outlining.
Jiantao PuNaciye Sinem GezerShangsi RenAylin Ozgen AlpaydinEmre Ruhat AvciMichael G. RisbanoBelinda Rivera-LebronStephen Yu-Wah ChanJoseph K. LeaderPublished in: Medical Image Anal. (2023)
Keyphrases
- automated detection
- lung cancer
- lymph nodes
- deep learning
- ct scans
- computed tomography
- medical images
- medical imaging
- computer tomography
- cardiac ct
- automated segmentation
- ct images
- x ray
- contrast enhanced
- inter observer variability
- pulmonary nodules
- unsupervised learning
- patient specific
- image reconstruction
- automated analysis
- ct data
- image segmentation
- three dimensional
- machine learning
- computer aided diagnosis
- multiscale
- coronary artery disease
- image guided
- risk factors
- segmentation method
- image analysis
- mental models
- cardiac cycle
- weakly supervised