Manuscript topic: Quantitative imaging and image processing SAUN: Stack attention U-Net for left ventricle segmentation from cardiac cine magnetic resonance image

摘要

Purpose Quantification of left ventricular (LV) volume, ejection fraction and myocardial mass from multi-slice multi-phase cine MRI requires accurate segmentation of the LV in many images. We propose a stack attention-based convolutional neural network (CNN) approach for fully automatic segmentation from short-axis cine MR images.