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Automated Classification of Maxillary Sinus Ostium Patency Using a ConvNeXt-Tiny + DeiT Gated MLP-Based Hybrid Deep Learning Model: A Retrospective CBCT Study.

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Title: Automated Classification of Maxillary Sinus Ostium Patency Using a ConvNeXt-Tiny + DeiT Gated MLP-Based Hybrid Deep Learning Model: A Retrospective CBCT Study.
Authors: Talo, Furkan1 (AUTHOR), Duger, Nurullah2 (AUTHOR), Aslan, Emre2,3 (AUTHOR), Yildirim, Muhammed1,3 (AUTHOR), Kaya, Mahmut2,3 (AUTHOR), Ozer, Ahmet Bedri1,3 (AUTHOR) bedriozer@firat.edu.tr, Yildirim, Tuba Talo2 (AUTHOR)
Source: Diagnostics (2075-4418). May2026, Vol. 16 Issue 10, p1512. 12p.
Database: Academic Search Ultimate
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  Data: Automated Classification of Maxillary Sinus Ostium Patency Using a ConvNeXt-Tiny + DeiT Gated MLP-Based Hybrid Deep Learning Model: A Retrospective CBCT Study.
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  Data: <searchLink fieldCode="JN" term="%22Diagnostics+%282075-4418%29%22">Diagnostics (2075-4418)</searchLink>. May2026, Vol. 16 Issue 10, p1512. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194119364
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        Value: 10.3390/diagnostics16101512
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 1512
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      – TitleFull: Automated Classification of Maxillary Sinus Ostium Patency Using a ConvNeXt-Tiny + DeiT Gated MLP-Based Hybrid Deep Learning Model: A Retrospective CBCT Study.
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            NameFull: Talo, Furkan
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            NameFull: Duger, Nurullah
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            NameFull: Aslan, Emre
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            NameFull: Yildirim, Muhammed
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            NameFull: Kaya, Mahmut
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            NameFull: Ozer, Ahmet Bedri
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            – D: 15
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 10
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            – TitleFull: Diagnostics (2075-4418)
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