Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57335, first published .
The Application of Mask Region-Based Convolutional Neural Networks in the Detection of Nasal Septal Deviation Using Cone Beam Computed Tomography Images: Proof-of-Concept Study

The Application of Mask Region-Based Convolutional Neural Networks in the Detection of Nasal Septal Deviation Using Cone Beam Computed Tomography Images: Proof-of-Concept Study

The Application of Mask Region-Based Convolutional Neural Networks in the Detection of Nasal Septal Deviation Using Cone Beam Computed Tomography Images: Proof-of-Concept Study

Shishir Shetty   1 , PhD ;   Auwalu Saleh Mubarak   2 , PhD ;   Leena R David   3 , PhD ;   Mhd Omar Al Jouhari   1 , BDS ;   Wael Talaat   1 , PhD ;   Natheer Al-Rawi   1 , PhD ;   Sausan AlKawas   1 , PhD ;   Sunaina Shetty   4 , PhD ;   Dilber Uzun Ozsahin   3 , PhD

1 Department of Oral and Craniofacial Health Sciences, College of Dental Medicine, University of Sharjah, Sharjah, United Arab Emirates

2 Operational Research Center in Healthcare, Near East University, Nicosia, Turkey

3 Department of Medical Diagnostic Imaging, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates

4 Department of Preventive and Restorative Dentistry, College of Dental Medicine, University of Sharjah, Sharjah, United Arab Emirates

Corresponding Author:

  • Dilber Uzun Ozsahin, PhD
  • Department of Medical Diagnostic Imaging
  • College of Health Sciences
  • University of Sharjah
  • Building M31
  • Sharjah, 27272
  • United Arab Emirates
  • Phone: 971 556491740
  • Email: dozsahin@sharjah.ac.ae