Ventricle tracking in transesophageal echocardiography (TEE) images during cardiopulmonary resuscitation (CPR) using deep learning and monogenic filtering.
Honggi AhnSun Ju KimSeungyoung KangJunghun HanSung Oh HwangKyoung-Chul ChaSejung YangPublished in: Biomedical engineering letters (2023)
The online version contains supplementary material available at 10.1007/s13534-023-00293-9.
Keyphrases
- cardiopulmonary resuscitation
- deep learning
- pulmonary hypertension
- cardiac arrest
- pulmonary artery
- convolutional neural network
- left ventricular
- psychometric properties
- social media
- health information
- left atrial appendage
- mitral valve
- artificial intelligence
- computed tomography
- pulmonary arterial hypertension
- machine learning
- congenital heart disease
- coronary artery
- heart failure
- atrial fibrillation
- catheter ablation