CNN-Based Deep Learning Approaches for Automated Analysis of Periapical Pathology on Dental Radiographs: A Scoping Review

rahil1484@gmail.com

DOI: 10.17605/osf.io/38yz4
Published: 2026
Container: Not recorded
Publisher: OSF Registries
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.17605/osf.io/38yz4,
  title = {CNN-Based Deep Learning Approaches for Automated Analysis of Periapical Pathology on Dental Radiographs: A Scoping Review},
  author = {rahil1484@gmail.com},
  year = {2026},
  doi = {10.17605/osf.io/38yz4},
  url = {https://doi.org/10.17605/osf.io/38yz4}
}

RIS

TY  - JOUR
TI  - CNN-Based Deep Learning Approaches for Automated Analysis of Periapical Pathology on Dental Radiographs: A Scoping Review
AU  - rahil1484@gmail.com
PY  - 2026
DO  - 10.17605/osf.io/38yz4
UR  - https://doi.org/10.17605/osf.io/38yz4
ER  -

APA

rahil1484@gmail.com (2026). CNN-Based Deep Learning Approaches for Automated Analysis of Periapical Pathology on Dental Radiographs: A Scoping Review. https://doi.org/10.17605/osf.io/38yz4

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datacite · retrieved 2026-09-26T03:33:23.360Z