Left ventricle segmentation in transesophageal echocardiography images using a deep neural network.

Seungyoung KangSun Ju KimHong Gi AhnKyoung-Chul ChaSejung Yang

Published in: PloS one (2023)

Compared to U-Net, the proposed model showed better performance for all metrics. This model would allow us to evaluate the systolic function of the heart during CPR in greater detail by segmenting the LV more accurately.

Keyphrases

neural network
deep learning
left ventricular
heart failure
convolutional neural network
pulmonary hypertension
cardiac arrest
blood pressure
computed tomography
pulmonary artery
mitral valve
cardiopulmonary resuscitation
atrial fibrillation
optical coherence tomography