Automatic segmentation of the left ventricle in echocardiographic images using convolutional neural networks

Abstract

The results showed that both CNN models achieve higher performance on LV segmentation than the level-set method. The error of the reconstruction from automatic segmentation compared to the expert segmentation is less than 15%, which is within the 20% error of echo compared to the gold standard.