A deep learning pipeline for automatic analysis of multi-scan cardiovascular magnetic resonance

A deep learning pipeline for automatic analysis of multi-scan cardiovascular magnetic resonance

Abstract Background Cardiovascular magnetic resonance (CMR) sequences are commonly used to obtain a complete description of the function and structure of the heart, provided that accurate measurements are extracted from images. New methods of extraction of information are being developed, among them...

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Bibliographic Details
Main Authors: Hakim Fadil, John J. Totman, Derek J. Hausenloy, Hee-Hwa Ho, Prabath Joseph, Adrian Fatt-Hoe Low, A. Mark Richards, Mark Y. Chan, Stephanie Marchesseau
Format: Article
Language:English
Published: BMC 2021-04-01
Series:Journal of Cardiovascular Magnetic Resonance
Subjects:
T1 mapping
T2 mapping
Cine short-axis
Aortic flow
Deep learning
Segmentation
Online Access:https://doi.org/10.1186/s12968-020-00695-z

Internet

https://doi.org/10.1186/s12968-020-00695-z

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