Automated Segmentation and Volume Measurement of Intracranial Internal Carotid Artery Calcification at Noncontrast CT.
Gerda BortsovaDaniel BosFlorian DubostMeike W VernooijM Kamran IkramGijs van TulderMarleen de BruijnePublished in: Radiology. Artificial intelligence (2021)
The developed model was capable of automated segmentation and volume quantification of ICAC with accuracy comparable to human experts.Keywords CT, Neural Networks, Carotid Arteries, Calcifications/Calculi, Arteriosclerosis, Segmentation, Vision Application Domain, Stroke Supplemental material is available for this article. © RSNA, 2021.
Keyphrases
- deep learning
- internal carotid artery
- convolutional neural network
- neural network
- dual energy
- image quality
- computed tomography
- contrast enhanced
- machine learning
- endothelial cells
- middle cerebral artery
- high throughput
- atrial fibrillation
- chronic kidney disease
- magnetic resonance imaging
- induced pluripotent stem cells
- positron emission tomography
- subarachnoid hemorrhage
- urinary tract
- brain injury