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Application of deep learning technology for temporal analysis of videofluoroscopic swallowing studies.

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Title: Application of deep learning technology for temporal analysis of videofluoroscopic swallowing studies.
Authors: Jeong, Seong Yun1 (AUTHOR), Kim, Jeong Min2 (AUTHOR), Park, Ji Eun2 (AUTHOR), Baek, Seung Jun1 (AUTHOR) sjbaek@korea.ac.kr, Yang, Seung Nam2 (AUTHOR) snamyang@korea.ac.kr
Source: Scientific Reports. 11/18/2023, Vol. 13 Issue 1, p1-12. 12p.
Database: Academic Search Ultimate
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  Data: Application of deep learning technology for temporal analysis of videofluoroscopic swallowing studies.
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  Data: <searchLink fieldCode="AR" term="%22Jeong%2C+Seong+Yun%22">Jeong, Seong Yun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Jeong+Min%22">Kim, Jeong Min</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Park%2C+Ji+Eun%22">Park, Ji Eun</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Baek%2C+Seung+Jun%22">Baek, Seung Jun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sjbaek@korea.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Seung+Nam%22">Yang, Seung Nam</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> snamyang@korea.ac.kr</i>
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 11/18/2023, Vol. 13 Issue 1, p1-12. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=173738908
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        Value: 10.1038/s41598-023-44802-3
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              Text: 11/18/2023
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