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 Ram Shetty Auwalu Saleh Mubarak Leena R David Mhd Omar Al Jouhari Wael Talaat Natheer Hashim Al-Rawi Sausan Al Kawas Sunaina Shetty Y Dilber Uzun Ozsahin

Published in: JMIR formative research (2024)

The performance of the model shows that the model is capable of detecting nasal septal deviation. Future research in this field should focus on additional preprocessing of images and detection of NSD based on multiple planes using 3D images.

Keyphrases

convolutional neural network
deep learning
cone beam computed tomography
loop mediated isothermal amplification
real time pcr
hypertrophic cardiomyopathy
chronic rhinosinusitis
current status
atrial fibrillation