Automated Assessment of Transthoracic Echocardiogram Image Quality Using Deep Neural Networks. (arXiv:2209.00976v1 [eess.IV])

Standard views in two-dimensional echocardiography are well established but
the quality of acquired images are highly dependent on operator skills and are
assessed subjectively. This study is aimed at providing an objective assessment
pipeline for echocardiogram image quality by defining a new set of
domain-specific quality indicators. Consequently, image quality assessment can
thus be automated to enhance clinical measurements, interpretation, and
real-time optimization. We have developed deep neural networks for the
automated assessment of echocardiographic frame which were randomly sampled …

arxiv image networks neural networks quality