Echocardiographic Image Quality Assessment Using Deep Neural Networks. (arXiv:2209.00959v1 [eess.IV])

Echocardiography image quality assessment is not a trivial issue in
transthoracic examination. As the in vivo examination of heart structures
gained prominence in cardiac diagnosis, it has been affirmed that accurate
diagnosis of the left ventricle functions is hugely dependent on the quality of
echo images. Up till now, visual assessment of echo images is highly subjective
and requires specific definition under clinical pathologies. While poor-quality
images impair quantifications and diagnosis, the inherent variations in
echocardiographic image quality standards indicates …

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