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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 — Europe PMC PMID:42196878

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/42196878
DOI: 10.3390/diagnostics16101512
License (as archived): solo-consultazione
Archived: 2026-11-01T16:01:25.175Z
SHA-256 of the archived text: 7431b679ea3e0e32f2e9fc1df3d1066597b53a40d3f31f3cc898abf336c392dc
Stable URL of this page: https://metraipolis.com/documento/dc_3dc4eccfd708

How to cite

Automated Classification of Maxillary Sinus Ostium Patency Using a ConvNeXt-Tiny + DeiT Gated MLP-Based Hybrid Deep Learning Model: A Retrospective CBCT Study — Europe PMC PMID:42196878 — Europe PMC (en), https://europepmc.org/article/MED/42196878 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_3dc4eccfd708 (Metraipolis archive dc_3dc4eccfd708, sha256 7431b679ea3e0e32f2e9fc1df3d1066597b53a40d3f31f3cc898abf336c392dc)

BibTeX

@misc{dc3dc4eccfd708,
  title = {Automated Classification of Maxillary Sinus Ostium Patency Using a ConvNeXt-Tiny + DeiT Gated MLP-Based Hybrid Deep Learning Model: A Retrospective CBCT Study — Europe PMC PMID:42196878},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/42196878},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_3dc4eccfd708; sha256 7431b679ea3e0e32f2e9fc1df3d1066597b53a40d3f31f3cc898abf336c392dc},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/42196878. Agents can read the archived copy with the MCP tool read_document.