Myocardial Segmentation of Contrast Echocardiograms Using Random Forests Guided by Shape Model

19 Jun 2018Yuanwei LiChin Pang HoNavtej ChahalRoxy SeniorMeng-Xing Tang

Myocardial Contrast Echocardiography (MCE) with micro-bubble contrast agent enables myocardial perfusion quantification which is invaluable for the early detection of coronary artery diseases. In this paper, we proposed a new segmentation method called Shape Model guided Random Forests (SMRF) for the analysis of MCE data... (read more)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.