APA (7th ed.) Citation

Talo, F., Duger, N., Aslan, E., Yildirim, M., Kaya, M., Ozer, A. B., & Yildirim, T. T. (2026). Automated Classification of Maxillary Sinus Ostium Patency Using a ConvNeXt-Tiny + DeiT Gated MLP-Based Hybrid Deep Learning Model: A Retrospective CBCT Study. Diagnostics (2075-4418), 16(10), 1512. https://doi.org/10.3390/diagnostics16101512

Chicago Style (17th ed.) Citation

Talo, Furkan, Nurullah Duger, Emre Aslan, Muhammed Yildirim, Mahmut Kaya, Ahmet Bedri Ozer, and Tuba Talo Yildirim. "Automated Classification of Maxillary Sinus Ostium Patency Using a ConvNeXt-Tiny + DeiT Gated MLP-Based Hybrid Deep Learning Model: A Retrospective CBCT Study." Diagnostics (2075-4418) 16, no. 10 (2026): 1512. https://doi.org/10.3390/diagnostics16101512.

MLA (9th ed.) Citation

Talo, Furkan, et al. "Automated Classification of Maxillary Sinus Ostium Patency Using a ConvNeXt-Tiny + DeiT Gated MLP-Based Hybrid Deep Learning Model: A Retrospective CBCT Study." Diagnostics (2075-4418), vol. 16, no. 10, 2026, p. 1512, https://doi.org/10.3390/diagnostics16101512.