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Importance of the Quality of Annotation: Impact of Simulated Inter-Observer Variability on Deep Neural Network Automated Segmentation Model Performance.

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Title: Importance of the Quality of Annotation: Impact of Simulated Inter-Observer Variability on Deep Neural Network Automated Segmentation Model Performance.
Authors: LaBella, Dominic1 (AUTHOR) dominic.labella@duke.edu, Kop, Michaela2 (AUTHOR), Qi, Xuan3 (AUTHOR), Stecko, Hunter3,4 (AUTHOR), Turkbey, Baris3,5 (AUTHOR), Scanlon, Hannah1,4 (AUTHOR), Sanford, Thomas2,5 (AUTHOR)
Source: Bioengineering (Basel). Jun2026, Vol. 13 Issue 6, p691. 9p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 194951749
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  Data: Importance of the Quality of Annotation: Impact of Simulated Inter-Observer Variability on Deep Neural Network Automated Segmentation Model Performance.
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  Data: <searchLink fieldCode="JN" term="%22Bioengineering+%28Basel%29%22">Bioengineering (Basel)</searchLink>. Jun2026, Vol. 13 Issue 6, p691. 9p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194951749
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/bioengineering13060691
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      – Code: eng
        Text: English
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        PageCount: 9
        StartPage: 691
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      – TitleFull: Importance of the Quality of Annotation: Impact of Simulated Inter-Observer Variability on Deep Neural Network Automated Segmentation Model Performance.
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            NameFull: LaBella, Dominic
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            NameFull: Kop, Michaela
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            NameFull: Qi, Xuan
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            NameFull: Stecko, Hunter
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            NameFull: Turkbey, Baris
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            NameFull: Scanlon, Hannah
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 13
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            – TitleFull: Bioengineering (Basel)
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