Correlated Regression Feature Learning for Automated Right Ventricle Segmentation

Correlated Regression Feature Learning for Automated Right Ventricle Segmentation

Accurate segmentation of right ventricle (RV) from cardiac magnetic resonance (MR) images can help a doctor to robustly quantify the clinical indices including ejection fraction. In this paper, we develop one regression convolutional neural network (RegressionCNN) which combines a holistic regressio...

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Bibliographic Details
Main Authors: Jun Chen, Heye Zhang, Weiwei Zhang, Xiuquan Du, Yanping Zhang, Shuo Li
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
RV segmentation
CNN
regression segmentation
RegressionCNN
boundary points
Online Access:https://ieeexplore.ieee.org/document/8399880/

Internet

https://ieeexplore.ieee.org/document/8399880/

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