Deep learning for transesophageal echocardiography view classification

• Published in: Scientific reports Vol. 14; no. 1; p. 11
• Main Authors: Steffner, Kirsten R., Christensen, Matthew, Gill, George, Bowdish, Michael, Rhee, Justin, Kumaresan, Abirami, He, Bryan, Zou, James, Ouyang, David
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 02.01.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114/1305; 692/4019; Aortic Valve; Cardiac Surgical Procedures; Classification; Deep Learning; Echocardiography; Echocardiography - methods; Echocardiography, Transesophageal - methods; Esophagus; Heart; Heart surgery; Humanities and Social Sciences; Humans; multidisciplinary; Neural networks; Science; Science (multidisciplinary); Ventricle

Transesophageal echocardiography (TEE) imaging is a vital tool used in the evaluation of complex cardiac pathology and the management of cardiac surgery patients. A key limitation to the application of deep learning strategies to intraoperative and intraprocedural TEE data is the complexity and unst...