Quantification of Full Left Ventricular Metrics via Deep Regression Learning With Contour-Guidance

@article{Wang2019QuantificationOF,
  title={Quantification of Full Left Ventricular Metrics via Deep Regression Learning With Contour-Guidance},
  author={Wenji Wang and Yuanquan Wang and Yuwei Wu and Tao Lin and Shuo Li and Bo Chen},
  journal={IEEE Access},
  year={2019},
  volume={7},
  pages={47918-47928}
}
Quantifying full left ventricular (LV) metrics including cavity area, myocardium area, cavity dimensions and wall thicknesses from cardiac magnetic resonance (MR) images, and then assessing regional and global cardiac function plays a crucial role in clinical practice. However, due to highly variable cardiac structures across different subjects, it is challenging to obtain an accurate estimation of LV metrics. In this paper, we propose a novel deep learning framework, called cascaded… CONTINUE READING

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