Deep learning based hybrid system for automatic detection and classification of nasopalatine canal in cone beam computed tomography images.
- DOI
- 10.1007/s00405-026-10561-w
- Published
- 2026-08-20
- Container
- Eur Arch Otorhinolaryngol
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1007/s00405-026-10561-w,
title = {Deep learning based hybrid system for automatic detection and classification of nasopalatine canal in cone beam computed tomography images.},
author = {Erdem Ş and Aydemir ME and Türkoğlu M.},
year = {2026},
journal = {Eur Arch Otorhinolaryngol},
doi = {10.1007/s00405-026-10561-w},
url = {https://doi.org/10.1007/s00405-026-10561-w}
}RIS
TY - JOUR TI - Deep learning based hybrid system for automatic detection and classification of nasopalatine canal in cone beam computed tomography images. AU - Erdem Ş AU - Aydemir ME AU - Türkoğlu M. PY - 2026 JO - Eur Arch Otorhinolaryngol DO - 10.1007/s00405-026-10561-w UR - https://doi.org/10.1007/s00405-026-10561-w ER -
APA
Ş, E., ME, A., & M., T. (2026). Deep learning based hybrid system for automatic detection and classification of nasopalatine canal in cone beam computed tomography images.. Eur Arch Otorhinolaryngol. https://doi.org/10.1007/s00405-026-10561-w
Source records
- europe-pmc · retrieved 2026-09-27T15:33:25.967Z