EFNet: estimation of left ventricular ejection fraction from cardiac ultrasound videos using deep le...
EFNet: estimation of left ventricular ejection fraction from cardiac ultrasound videos using deep learning
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Publisher
United States: PeerJ. Ltd
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Language
English
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Publisher
United States: PeerJ. Ltd
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Contents
The ejection fraction (EF) is a vital metric for assessing cardiovascular function through cardiac ultrasound. Manual evaluation is time-consuming and exhibits high variability among observers. Deep-learning techniques offer precise and autonomous EF predictions, yet these methods often lack explainability. Accurate heart failure prediction using c...
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Full title
EFNet: estimation of left ventricular ejection fraction from cardiac ultrasound videos using deep learning
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TN_cdi_doaj_primary_oai_doaj_org_article_f5cf8b74a1ff4accaf25bd7990e91552
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f5cf8b74a1ff4accaf25bd7990e91552
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ISSN
2376-5992
E-ISSN
2376-5992
DOI
10.7717/peerj-cs.2506
