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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
|
| Series: | Bone Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352187222004661 |