Using Deep Learning to Detect the Presence and Location of Hemoperitoneum on the Focused Assessment with Sonography in Trauma (FAST) Examination in Adults.

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Title: Using Deep Learning to Detect the Presence and Location of Hemoperitoneum on the Focused Assessment with Sonography in Trauma (FAST) Examination in Adults.
Authors: Leo, Megan M.1,2, megan.leo@bmc.org, Potter, Ilkay Yildiz3, Zahiri, Mohsen3, Vaziri, Ashkan3, Jung, Christine F.4,5,6, Feldman, James A.1,2
Source: Journal of Digital Imaging; Oct2023, Vol. 36 Issue 5, p2035-2050, 16p, 2 Color Photographs, 9 Black and White Photographs, 1 Diagram, 4 Charts
Database: Applied Science & Technology Source
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Digital+Imaging%22">Journal of Digital Imaging</searchLink>; Oct2023, Vol. 36 Issue 5, p2035-2050, 16p, 2 Color Photographs, 9 Black and White Photographs, 1 Diagram, 4 Charts
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10278-023-00845-6
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 2035
    Titles:
      – TitleFull: Using Deep Learning to Detect the Presence and Location of Hemoperitoneum on the Focused Assessment with Sonography in Trauma (FAST) Examination in Adults.
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            NameFull: Leo, Megan M.
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            NameFull: Potter, Ilkay Yildiz
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            NameFull: Zahiri, Mohsen
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            NameFull: Vaziri, Ashkan
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            NameFull: Jung, Christine F.
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            NameFull: Feldman, James A.
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            – D: 01
              M: 10
              Text: Oct2023
              Type: published
              Y: 2023
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              Value: 36
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