Automatic Quality Assessment Of Echocardiograms Using Convolutional Neural Networks: Feasibility On The Apical Four-Chamber View (Vol 36, Pg 1221, 2017)

Echocardiography (echo) is a skilled technical procedure that depends on the experience of the operator. The aim of this paper is to reduce user variability in data acquisition by automatically computing a score of echo quality for operator feedback. To do this, a deep convolutional neural network model, trained on a large set of samples, was developed for scoring apical four-chamber (A4C) echo. I...