Machine learning algorithm using publicly available echo database for simplified “visual estimation” of left ventricular ejection fraction

doi:10.5493/wjem.v12.i2.16

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World Journal of Experimental Medicine

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2220-315x

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Exp Med. Mar 20, 2022; 12(2): 16-25
Published online Mar 20, 2022. doi: 10.5493/wjem.v12.i2.16

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Figure 2 Apical 4-chamber videos were 112 × 112 pixels in size, compared to typical exported examination videos which can be 1024 × 560 pixels in size, or larger.

Citation: Blaivas M, Blaivas L. Machine learning algorithm using publicly available echo database for simplified “visual estimation” of left ventricular ejection fraction . World J Exp Med 2022; 12(2): 16-25
URL: https://www.wjgnet.com/2220-315x/full/v12/i2/16.htm
DOI: https://dx.doi.org/10.5493/wjem.v12.i2.16

Blaivas M, Blaivas L. Machine learning algorithm using publicly available echo database for simplified “visual estimation” of left ventricular ejection fraction . World J Exp Med 2022; 12(2): 16-25 [PMID: 35433318 DOI: 10.5493/wjem.v12.i2.16]

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