Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases

Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases

Skull-stripping and region segmentation are fundamental steps in preclinical magnetic resonance imaging (MRI) studies, and these common procedures are usually performed manually. We present Multi-task U-Net (MU-Net), a convolutional neural network designed to accomplish both tasks simultaneously. MU...

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Bibliographic Details
Main Authors: Riccardo De Feo, Artem Shatillo, Alejandra Sierra, Juan Miguel Valverde, Olli Gröhn, Federico Giove, Jussi Tohka
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:NeuroImage
Subjects:
MRI
Brain
Segmentation
Deep learning
U-Net
Mice
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811921000112

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http://www.sciencedirect.com/science/article/pii/S1053811921000112

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