Application of Mask R-CNN for automatic recognition of teeth and caries in cone-beam computerized tomography

Application of Mask R-CNN for automatic recognition of teeth and caries in cone-beam computerized tomography

Abstract Objectives Deep convolutional neural networks (CNNs) are advancing rapidly in medical research, demonstrating promising results in diagnosis and prediction within radiology and pathology. This study evaluates the efficacy of deep learning algorithms for detecting and diagnosing dental carie...

Full description

Saved in:
Bibliographic Details
Main Authors: Yujie Ma, Maged Ali Al-Aroomi, Yutian Zheng, Wenjie Ren, Peixuan Liu, Qing Wu, Ye Liang, Canhua Jiang
Format: Article
Language:English
Published: BMC 2025-06-01
Series:BMC Oral Health
Subjects:
CBCT
Image recognition
Caries
Mask R-CNN
Deep learning
Online Access:https://doi.org/10.1186/s12903-025-06293-8
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12903-025-06293-8

Similar Items