Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI.

Objectives: To develop and validate a proof-of-concept convolutional neural network (CNN)-based deep learning system (DLS) that classifies common hepatic lesions on multi-phasic MRI.Methods: A custom CNN was engineered by iteratively optimizing the network architecture and training cases, finally co...

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Bibliographic Details

Published in:	European Radiology Vol. 29; no. 7; pp. 3338 - 3348
Main Authors:	Hamm, Charlie A., Wang, Clinton J., Savic, Lynn J., Ferrante, Marc, Schobert, Isabel, Schlachter, Todd, Lin, MingDe, Duncan, James S., Weinreb, Jeffrey C., Chapiro, Julius, Letzen, Brian
Format:	research Journal Article
Published:	Springer Nature Jul2019
Online Access:	View this record in EBSCOhost