Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks

Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks

In this paper, we describe a Bayesian deep neural network (DNN) for predicting FreeSurfer segmentations of structural MRI volumes, in minutes rather than hours. The network was trained and evaluated on a large dataset (n = 11,480), obtained by combining data from more than a hundred different sites,...

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Bibliographic Details
Main Authors: Patrick McClure, Nao Rho, John A. Lee, Jakub R. Kaczmarzyk, Charles Y. Zheng, Satrajit S. Ghosh, Dylan M. Nielson, Adam G. Thomas, Peter Bandettini, Francisco Pereira
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-10-01
Series:Frontiers in Neuroinformatics
Subjects:
brain segmentation
deep learning
magnetic resonance imaging
Bayesian neural networks
variational inference
automated quality control
Online Access:https://www.frontiersin.org/article/10.3389/fninf.2019.00067/full

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https://www.frontiersin.org/article/10.3389/fninf.2019.00067/full

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