Skip to content
DraconiticResearch
Search Sources API
182,469 studies31 sourcesUpdated 45 min ago
Peer-reviewedCC BYDiagnostics (Basel, Switzerland)

Evaluation of the Position of Impacted Maxillary Canines on Panoramic Radiographs Using Deep Learning with CBCT as the Reference Standard

  • Anıl Demirel1
  • Sabahattin Bor1
  • Fırat Oğuz1
  • Duygu Çelik Özen2
  1. 1Department of Orthodontics, Faculty of Dentistry, , Malatya 44280, Türkiye; (S.B.); (F.O.)
  2. 2Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, , Malatya 44280, Türkiye;
Read full textPDFCite

Related

  1. Deep learning-based prediction of maxillary canine impaction on panoramic radiographs using YOLO-OBB derived DenSE-Net
    J. K. Adithya Annamalai, L. Rama Parvathy
    BMC Oral HealthPeer-reviewedCC BYFull text1 citedGeneral medicineDOAJ
  2. Evaluation of mandibular condyle morphology in northeastern Anatolian children and adolescents aged 6-14 years using digital panoramic radiographs.
    Hatice Zehra Bodur Güney, Tayfun Aygün, Arif Keskin +2
    BMC oral healthPeer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMCDOAJ
  3. Deep Learning for Root Canal Filling Quality on Panoramic Radiographs with Detection and Grading Measured Separately
    Faruk Oztekin, Oguzhan Katar, Mehmet Eskibaglar +4
    Diagnostics (Basel, Switzerland)Peer-reviewedCC BYFull textGeneral medicineEurope PMC
  4. AI-Based Automated Segmentation of the Mandibular Cortex and Mental Foramen for Radiomorphometric Measurement on Panoramic Radiographs: A Feasibility Study
    Sinem Atay Görür, Merve Önder, Özer Çelik +4
    Diagnostics (Basel, Switzerland)Peer-reviewedCC BYFull textGeneral medicineEurope PMC
  5. SBRF-Det: Scale-Boundary Representative Fusion for Multi-Finding Detection in Panoramic Dental Radiographs.
    Furkan Karatas, Omer Aslan, Mehmet Burukanli +4
    Diagnostics (Basel, Switzerland)Peer-reviewedCC BYFull textGeneral medicineEurope PMC

Cite

BibTeXRIS
BibTeX
@article{demirel2026evaluation,
  title = {{Evaluation of the Position of Impacted Maxillary Canines on Panoramic Radiographs Using Deep Learning with CBCT as the Reference Standard}},
  author = {Anıl Demirel and Sabahattin Bor and Fırat Oğuz and Duygu Çelik Özen},
  journal = {Diagnostics (Basel, Switzerland)},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13663945},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Evaluation of the Position of Impacted Maxillary Canines on Panoramic Radiographs Using Deep Learning with CBCT as the Reference Standard
AU  - Anıl Demirel
AU  - Sabahattin Bor
AU  - Fırat Oğuz
AU  - Duygu Çelik Özen
PY  - 2026
DA  - 2026/09/29
JO  - Diagnostics (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13663945
SN  - 2075-4418
ER  -