DeepLiverNet: a deep transfer learning model for classifying liver stiffness using clinical and T2-weighted magnetic resonance imaging data in children and young adults.

Hailong LiLili HeJonathan A DudleyThomas C MaloneyElanchezhian SomasundaramSamuel L BradyNehal A ParikhJonathan R Dillman

Published in: Pediatric radiology (2020)

A deep learning model that incorporates clinical data and anatomical T2-weighted MR images might provide a means of risk-stratifying liver stiffness and directing the use of MR elastography.

Keyphrases

contrast enhanced
young adults
deep learning
magnetic resonance imaging
magnetic resonance
electronic health record
computed tomography
convolutional neural network
big data
artificial intelligence
machine learning
diffusion weighted imaging
data analysis
liver fibrosis
childhood cancer