Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model

Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model

Background and aims: Preterm birth imposes a high risk for developing neuromotor delay. Earlier prediction of adverse outcome in preterm infants is crucial for referral to earlier intervention. This study aimed to predict abnormal motor outcome at 2 years from early brain diffusion magnetic resonanc...

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Bibliographic Details
Main Authors: Susmita Saha, Alex Pagnozzi, Pierrick Bourgeat, Joanne M. George, DanaKai Bradford, Paul B. Colditz, Roslyn N. Boyd, Stephen E. Rose, Jurgen Fripp, Kerstin Pannek
Format: Article
Language:English
Published: Elsevier 2020-07-01
Series:NeuroImage
Subjects:
Preterm infants
Neurodevelopment
Motor outcome
Neuro-sensory motor development assessment
Deep learning
Convolutional neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920302949

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http://www.sciencedirect.com/science/article/pii/S1053811920302949

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