Purpose#R##N#Accurate segmentation of left ventricle (LV) is essential for the cardiac function analysis. However, it is labor intensive and time consuming for radiologists to delineate LV boundary manually. In this paper, we present a novel self-correcting framework for the fully automatic LV segmentation.
['Yurun Ma', 'Li Wang', 'Yide Ma', 'Min Dong', 'Shiqiang Du', 'Xiaoguang Sun']
An SPCNN-GVF-based approach for the automatic segmentation of left ventricle in cardiac cine MR images.