A level-set reformulated as deep recurrent network for left/right ventricle segmentation on cardiac cine MRI

Abstract

We proposed a segmentation method, which is based on a level-set reformulated via a deep recurrent network (RLSNet). This network takes the advantage of U-Net in terms of medical pattern recognition and level-set algorithm in terms of keeping the enclosed and smooth shape of the segmentation contour. We evaluate the network by the segmentation of the left and right ventricles of the heart on cardiac cine Magnetic Resonance Images, which gives greater performance than using U-Net only.