A 3D Fully Convolutional Neural Network With Top-Down Attention-Guided Refinement for Accurate and Robust Automatic Segmentation of Amygdala and Its Subnuclei

A 3D Fully Convolutional Neural Network With Top-Down Attention-Guided Refinement for Accurate and Robust Automatic Segmentation of Amygdala and Its Subnuclei

Recent advances in deep learning have improved the segmentation accuracy of subcortical brain structures, which would be useful in neuroimaging studies of many neurological disorders. However, most existing deep learning based approaches in neuroimaging do not investigate the specific difficulties t...

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Bibliographic Details
Main Authors: Yilin Liu, Brendon M. Nacewicz, Gengyan Zhao, Nagesh Adluru, Gregory R. Kirk, Peter A. Ferrazzano, Martin A. Styner, Andrew L. Alexander
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Neuroscience
Subjects:
deep learning
fully convolutional neural network
amygdala
structural MRI
segmentation
harmonization
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.00260/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2020.00260/full

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