Automated detection of pulmonary embolism from CT-angiograms using deep learning.
Heidi HuhtanenMikko NymanTarek MohsenArho VirkkiAntti KarlssonJussi HirvonenPublished in: BMC Medical Imaging (2022)
Keyphrases
- automated detection
- deep learning
- pulmonary embolism
- dual energy
- x ray
- completely automated
- lung parenchyma
- automated analysis
- cell nuclei
- unsupervised learning
- lung cancer
- machine learning
- low dose
- mental models
- x ray images
- weakly supervised
- fully automated
- computer tomography
- automated segmentation
- turing test
- soft tissue
- image analysis
- medical imaging
- intraoperative
- decision support system
- medical images
- total hip arthroplasty
- coronary artery
- feature extraction