This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2410) Imaging Informatics (193) Artificial Intelligence (1371) ENT (Ear, Nose, Throat) (29) Medical imaging (28)

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

Authors of this article:

Shishir Shetty1 Author Orcid Image ;   Auwalu Saleh Mubarak2 Author Orcid Image ;   Leena R David3 Author Orcid Image ;   Mhd Omar Al Jouhari1 Author Orcid Image ;   Wael Talaat1 Author Orcid Image ;   Natheer Al-Rawi1 Author Orcid Image ;   Sausan AlKawas1 Author Orcid Image ;   Sunaina Shetty4 Author Orcid Image ;   Dilber Uzun Ozsahin3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually