Pediatric Head CT: Automated Quantitative Analysis with Quantile Regression.

Keith A Cauley Yirui Hu Samuel W Fielden

Published in: AJNR. American journal of neuroradiology (2020)

Automated segmentation of clinical head CT images permitted the generation of a reference database for quantitative analysis of pediatric and adolescent brains. Quantile regression facilitates clinical application.

Keyphrases

deep learning
convolutional neural network
image quality
dual energy
computed tomography
machine learning
contrast enhanced
high throughput
optic nerve
young adults
positron emission tomography
mental health
high resolution
childhood cancer
emergency department
optical coherence tomography
electronic health record