Fully Automated Segmentation of Head CT Neuroanatomy Using Deep Learning.

Jason C Cai Zeynettin AkkusKenneth A PhilbrickArunnit BoonrodSafa Hoodeshenas Alexander D WestonPouria RouzrokhGian Marco ConteAtefeh ZeinoddiniDavid C VogelsangQiao HuangBradley J Erickson

Published in: Radiology. Artificial intelligence (2020)

Automated segmentation of CT neuroanatomy is feasible with a high degree of accuracy. The model generalized to external CT scans as well as scans demonstrating iNPH.Supplemental material is available for this article.© RSNA, 2020.

Keyphrases

deep learning
dual energy
computed tomography
contrast enhanced
image quality
convolutional neural network
artificial intelligence
machine learning
positron emission tomography
magnetic resonance imaging
high throughput
single cell