Performance of a 3D convolutional neural network in the detection of hypoperfusion at CT pulmonary angiography in patients with chronic pulmonary embolism: a feasibility study.
Tuomas VainioTeemu MäkeläSauli SavolainenMarko KangasniemiPublished in: European radiology experimental (2021)
We proposed a deep learning method for detecting hypoperfusion in CPE from CTPA. This model may help evaluating disease extent and supporting treatment planning.
Keyphrases
- pulmonary embolism
- convolutional neural network
- deep learning
- cognitive impairment
- computed tomography
- inferior vena cava
- optical coherence tomography
- artificial intelligence
- pulmonary hypertension
- image quality
- dual energy
- contrast enhanced
- machine learning
- positron emission tomography
- label free
- real time pcr
- magnetic resonance imaging
- quantum dots
- magnetic resonance