Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data

Automatic quantification of the left ventricle (LV) from cardiac magnetic resonance (CMR) images plays an important role in making the diagnosis procedure efficient, reliable, and alleviating the laborious reading work for physicians. Considerable efforts have been devoted to LV quantification using...

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Bibliographic Details
Main Authors:	Atehortua, A. (Author), Clough, J. (Author), Debus, A. (Author), Ferrante, E. (Author), Garreau, M. (Author), Grau, V. (Author), Grinias, E. (Author), Guo, F. (Author), Hu, Z. (Author), Hua, T. (Author), Jang, Y. (Author), Kerfoot, E. (Author), Li, J. (Author), Li, Q. (Author), Li, S. (Author), Li, X. (Author), Liu, L. (Author), Ma, J. (Author), Ng, M. (Author), Oksuz, I. (Author), Tziritas, G. (Author), Xu, H. (Author), Xue, W. (Author), Yan, W. (Author), Yang, G. (Author)
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:	algorithm arterial wall thickness Article artificial neural network Automatic quantification Cardiac magnetic resonance cardiac muscle Cardiac quantification cardiovascular magnetic resonance catheter ablation cine magnetic resonance imaging Comprehensive comparisons computer model congestive cardiomyopathy constrictive pericarditis deep neural network Deep neural network diagnostic imaging Evaluation of segmentation heart Heart heart arrhythmia heart cycle heart failure heart left ventricle heart ventricle heart ventricle remodeling Heart Ventricles human Humans image analysis image segmentation intermethod comparison learning algorithm left ventricle machine learning Magnetic resonance Magnetic Resonance Imaging Magnetic Resonance Imaging, Cine nuclear magnetic resonance imaging peak systolic velocity pericarditis Phase classification quantification Quantification methods Quantitative validation regression reliability segmentation sudden cardiac death support vector machine task performance training validation process
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Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data

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