RV Segmentation

The overview of our proposed RegressionCNN. RegressionCNN integrates convolutional feature extraction and holistic regression segmentation model into a unified framework. The cardiac MR images input to the framework directly, and get desired RV boundary.

Correlated Regression Feature Learning for Automated Right Ventricle Segmentation

Author(s): Jun Chen, Heye Zhang, Weiwei Zhang, Xiuquan Du, Yanping Zhang, Shuo Li
Correlated Regression Feature Learning for Automated Right Ventricle Segmentation 780 349 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

      Abstract: Accurate segmentation of right ventricle (RV) from cardiac magnetic resonance (MR) images can help doctor to robustly quantify the clinical indices including ejection fraction. In this paper, we…

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