Fully‑automated deep‑learning segmentation of pediatric cardiovascular magnetic resonance of patients with complex congenital heart diseases

Fully‑automated deep‑learning segmentation of pediatric cardiovascular magnetic resonance of patients with complex congenital heart diseases

Abstract Background For the growing patient population with congenital heart disease (CHD), improving clinical workflow, accuracy of diagnosis, and efficiency of analyses are considered unmet clinical needs. Cardiovascular magnetic resonance (CMR) imaging offers non-invasive and non-ionizing assessm...

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Bibliographic Details
Main Authors: Saeed Karimi-Bidhendi, Arghavan Arafati, Andrew L. Cheng, Yilei Wu, Arash Kheradvar, Hamid Jafarkhani
Format: Article
Language:English
Published: BMC 2020-11-01
Series:Journal of Cardiovascular Magnetic Resonance
Subjects:
Complex CHD analysis
CMR image analysis
Fully convolutional networks
Generative adversarial networks
Deep learning
Machine learning
Online Access:https://doi.org/10.1186/s12968-020-00678-0

Internet

https://doi.org/10.1186/s12968-020-00678-0

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