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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Bibliographic Details
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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ISSN:20754418
DOI:10.3390/diagnostics16101512