An attention-based deep learning method for right ventricular quantification using 2D echocardiography: Feasibility and accuracy.

Polydoros N KampaktsisTuan A BohoranMark LebehnLaura McLaughlinJay LebZhonghua LiuSerafeim MoustakidisAthanasios SiourasAnvesha SinghRebecca T HahnGerry P McCannArchontis Giannakidis

Published in: Echocardiography (Mount Kisco, N.Y.) (2023)

An attention-based DL method for 2DE RV quantification showed feasibility and promising accuracy. The method requires validation in larger cohorts with wider range of RV size and function. Further research will focus on the reduction of the number of required 2DE to make the method clinically applicable.

Keyphrases

mycobacterium tuberculosis
deep learning
heart failure
machine learning
convolutional neural network