Modular Neural Networks for Osteoporosis Detection in Mandibular Cone-Beam Computed Tomography Scans

In this technical note, we examine the capabilities of deep convolutional neural networks (DCNNs) for diagnosing osteoporosis through cone-beam computed tomography (CBCT) scans of the mandible. The evaluation was conducted using 188 patients’ mandibular CBCT images utilizing DCNN models built on the...

Full description

Bibliographic Details

Published in:	Tomography
Main Authors:	Ivars Namatevs, Arturs Nikulins, Edgars Edelmers, Laura Neimane, Anda Slaidina, Oskars Radzins, Kaspars Sudars
Format:	Article
Language:	English
Published:	MDPI AG 2023-09-01
Subjects:	artificial intelligence CBCT convolutional neural network dentistry deep learning osteoporosis
Online Access:	https://www.mdpi.com/2379-139X/9/5/141