Calculation of Anatomical and Functional Metrics Using Deep Learning in Cardiac MRI: Comparison Between Direct and Segmentation-Based Estimation-Reference-Cited by-同舟云学术

Calculation of Anatomical and Functional Metrics Using Deep Learning in Cardiac MRI: Comparison Between Direct and Segmentation-Based Estimation

Published:2019 Issue: Volume: Page:402-411
ISSN:0302-9743
Container-title:Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges
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Author:

Xu Hao,Schneider Jurgen E.,Grau Vicente

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-12029-0_43

Reference14 articles.

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4. Oktay, O., et al.: Anatomically constrained neural networks (ACNNs): application to cardiac image enhancement and segmentation. IEEE TMI 37(2), 384–395 (2018)

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