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