Detection of concha bullosa using deep learning models in cone-beam computed tomography images: a feasibility study
Deep learning models demonstrated high accuracy in detecting CB in CBCT images. However, to confirm these results, further studies involving larger sample sizes and various deep learning models are required.
Authors
- Shishir Shetty (ORCID: https://orcid.org/0000-0002-8097-6024)
- Auwalu Saleh Mubarak (ORCID: https://orcid.org/0000-0001-6240-1684)
- Sausan Al Kawas
- Mamatha Shetty (ORCID: https://orcid.org/0000-0003-1092-0639)
- Wael Talaat (ORCID: https://orcid.org/0000-0002-5784-3784)
- Leena R. David (ORCID: https://orcid.org/0000-0001-5604-4764)
- Sunaina Shetty Yadadi (ORCID: https://orcid.org/0000-0002-7616-4840)
- Dilber Uzun Ozsahin (ORCID: https://orcid.org/0000-0002-3873-1410)
- Natheer Al‐Rawi (ORCID: https://orcid.org/0000-0002-7483-6594)
- Mhd Omar Al Jouhari (ORCID: https://orcid.org/0009-0001-6651-6080)
Institutions
- Nitte University (IN)
- University of Sharjah (AE)
- Near East University (CY)
Publication Details
- Journal
- Archives of Craniofacial Surgery
- Published
- 2025-02-20
- DOI
- https://doi.org/10.7181/acfs.2024.00283
- Citations
- 6
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 14.89