Convolutional neural network for automated classification of osteonecrosis and related mandibular trabecular patterns

Convolutional neural network for automated classification of osteonecrosis and related mandibular trabecular patterns

Objective: The present study aimed to develop and validate a tool for the automated classification of normal, affected, and osteonecrosis mandibular trabecular bone patterns in panoramic radiographs using convolutional neural networks (CNNs). Methods: A dataset of 402 panoramic images from 376 patie...

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Bibliographic Details
Main Authors: Soroush Baseri Saadi, Catalina Moreno-Rabié, Tim van den Wyngaert, Reinhilde Jacobs
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Bone Reports
Subjects:
Osteonecrosis
Panoramic radiography
Diagnostic imaging
Artificial intelligence
Convolutional neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2352187222004661

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