Evolution of deep learning tooth segmentation from CT/CBCT images: a systematic review and meta-analysis

Evolution of deep learning tooth segmentation from CT/CBCT images: a systematic review and meta-analysis

Abstract Background Deep learning has been utilized to segment teeth from computed tomography (CT) or cone-beam CT (CBCT). However, the performance of deep learning is unknown due to multiple models and diverse evaluation metrics. This systematic review and meta-analysis aims to evaluate the evoluti...

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Bibliographic Details
Main Authors: Wai Ying Kot, Sum Yin Au Yeung, Yin Yan Leung, Pui Hang Leung, Wei-fa Yang
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Oral Health
Subjects:
Artificial intelligence
Deep learning
Tooth segmentation
Convolutional neural networks
Transformer
CBCT
Online Access:https://doi.org/10.1186/s12903-025-05984-6
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https://doi.org/10.1186/s12903-025-05984-6

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