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Deep learning to estimate gestational age from fly-to cineloop videos: A novel approach to ultrasound quality control.

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Title: Deep learning to estimate gestational age from fly-to cineloop videos: A novel approach to ultrasound quality control.
Authors: Viswanathan AV; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA., Pokaprakarn T; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.; Department of Biostatistics, University of North Carolina Gillings School of Global Public Health, Chapel Hill, North Carolina, USA., Kasaro MP; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.; UNC Global Projects - Zambia LLC, Lusaka, Zambia., Shah HR; Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA., Prieto JC; Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA., Benabdelkader C; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA., Sebastião YV; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA., Sindano N; UNC Global Projects - Zambia LLC, Lusaka, Zambia., Stringer E; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.; UNC Global Projects - Zambia LLC, Lusaka, Zambia., Stringer JSA; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.; UNC Global Projects - Zambia LLC, Lusaka, Zambia.
Source: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics [Int J Gynaecol Obstet] 2024 Jun; Vol. 165 (3), pp. 1013-1021. Date of Electronic Publication: 2024 Jan 08.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 0210174 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-3479 (Electronic) Linking ISSN: 00207292 NLM ISO Abbreviation: Int J Gynaecol Obstet Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Deep learning to estimate gestational age from fly-to cineloop videos: A novel approach to ultrasound quality control.
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  Data: <searchLink fieldCode="AU" term="%22Viswanathan+AV%22">Viswanathan AV</searchLink>; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Pokaprakarn+T%22">Pokaprakarn T</searchLink>; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.; Department of Biostatistics, University of North Carolina Gillings School of Global Public Health, Chapel Hill, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Kasaro+MP%22">Kasaro MP</searchLink>; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.; UNC Global Projects - Zambia LLC, Lusaka, Zambia.<br /><searchLink fieldCode="AU" term="%22Shah+HR%22">Shah HR</searchLink>; Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Prieto+JC%22">Prieto JC</searchLink>; Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Benabdelkader+C%22">Benabdelkader C</searchLink>; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Sebastião+YV%22">Sebastião YV</searchLink>; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Sindano+N%22">Sindano N</searchLink>; UNC Global Projects - Zambia LLC, Lusaka, Zambia.<br /><searchLink fieldCode="AU" term="%22Stringer+E%22">Stringer E</searchLink>; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.; UNC Global Projects - Zambia LLC, Lusaka, Zambia.<br /><searchLink fieldCode="AU" term="%22Stringer+JSA%22">Stringer JSA</searchLink>; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.; UNC Global Projects - Zambia LLC, Lusaka, Zambia.
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  Data: <searchLink fieldCode="JN" term="%220210174%22">International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics</searchLink> [Int J Gynaecol Obstet] 2024 Jun; Vol. 165 (3), pp. 1013-1021. <i>Date of Electronic Publication: </i>2024 Jan 08.
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              Text: 2024 Jun
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