Machine Learning Assisted MRI Characterization for Diagnosis of Neonatal Acute Bilirubin Encephalopathy

Machine Learning Assisted MRI Characterization for Diagnosis of Neonatal Acute Bilirubin Encephalopathy

Background: The use of magnetic resonance imaging (MRI) in diagnosis of neonatal acute bilirubin encephalopathy (ABE) in newborns has been limited by its difficulty in differentiating confounding image contrast changes associated with normal myelination. This study aims to demonstrate the feasibilit...

Full description

Bibliographic Details
Main Authors: Zhou Liu, Bing Ji, Yuzhong Zhang, Ge Cui, Lijian Liu, Shuai Man, Ling Ding, Xiaofeng Yang, Hui Mao, Liya Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-10-01
Series:Frontiers in Neurology
Subjects:
magnetic resonance imaging
neonate
bilirubin encephalopathy
myelination
machine learning
radiomics
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2019.01018/full

Internet

https://www.frontiersin.org/article/10.3389/fneur.2019.01018/full

Similar Items