RegressionCNN Archives - IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

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.

June 29, 2018

Correlated Regression Feature Learning for Automated Right Ventricle Segmentation

Author(s)3: Jun Chen, Heye Zhang, Weiwei Zhang, Xiuquan Du, Yanping Zhang, Shuo Li

Correlated Regression Feature Learning for Automated Right Ventricle Segmentation https://www.embs.org/jtehm/wp-content/uploads/sites/17/2018/06/Correlated-Regression-Feature-Learning-for-Automated-Right-Ventricle-Segmentation.jpg 780 349 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM) IEEE Journal of Translational Engineering in Health and Medicine (JTEHM) //www.embs.org/jtehm/wp-content/uploads/sites/17/2022/06/ieee-jtehm-logo2x.png June 29, 2018 March 4, 2022

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…