A Multi-Channel Uncertainty-Aware Multi-Resolution Network for MR to CT Synthesis

A Multi-Channel Uncertainty-Aware Multi-Resolution Network for MR to CT Synthesis

Synthesising computed tomography (CT) images from magnetic resonance images (MRI) plays an important role in the field of medical image analysis, both for quantification and diagnostic purposes. Convolutional neural networks (CNNs) have achieved state-of-the-art results in image-to-image translation...

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Bibliographic Details
Main Authors: Kerstin Klaser, Pedro Borges, Richard Shaw, Marta Ranzini, Marc Modat, David Atkinson, Kris Thielemans, Brian Hutton, Vicky Goh, Gary Cook, Jorge Cardoso, Sebastien Ourselin
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Applied Sciences
Subjects:
MR to CT synthesis
multi-resolution CNN
uncertainty
Online Access:https://www.mdpi.com/2076-3417/11/4/1667

Internet

https://www.mdpi.com/2076-3417/11/4/1667

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