Automated Endocardial Border Detection and Left Ventricular Functional Assessment in Echocardiography Using Deep Learning

Automated Endocardial Border Detection and Left Ventricular Functional Assessment in Echocardiography Using Deep Learning

Endocardial border detection is a key step in assessing left ventricular systolic function in echocardiography. However, this process is still not sufficiently accurate, and manual retracing is often required, causing time-consuming and intra-/inter-observer variability in clinical practice. To addr...

Full description

Bibliographic Details
Main Authors: Shunzaburo Ono, Masaaki Komatsu, Akira Sakai, Hideki Arima, Mie Ochida, Rina Aoyama, Suguru Yasutomi, Ken Asada, Syuzo Kaneko, Tetsuo Sasano, Ryuji Hamamoto
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Biomedicines
Subjects:
deep learning
echocardiography
endocardial border detection
left ventricular ejection fraction
myocardial strain assessment
Online Access:https://www.mdpi.com/2227-9059/10/5/1082

Internet

https://www.mdpi.com/2227-9059/10/5/1082

Similar Items