A dual-labeled dataset and fusion model for automatic teeth segmentation, numbering, and state assessment on panoramic radiographs
W Zhou, X Lu, D Zhao, M Jiang, L Fan, W Zhang, F Li… - BMC Oral Health, 2024 - Springer
Background Recently, deep learning has been increasingly applied in the field of dentistry.
The aim of this study is to develop a model for the automatic segmentation, numbering, and …
The aim of this study is to develop a model for the automatic segmentation, numbering, and …
Applications of AI-based deep learning models for detecting dental caries on intraoral images–a systematic review
Objectives This systematic review aimed to assess the effectiveness of Artificial Intelligence
(AI)-based Deep Learning (DL) models in the detection of dental caries on intraoral images …
(AI)-based Deep Learning (DL) models in the detection of dental caries on intraoral images …
[HTML][HTML] Comprehensive Insights into Artificial Intelligence for Dental Lesion Detection: A Systematic Review
Background/Objectives: The growing demand for artificial intelligence (AI) in healthcare is
driven by the need for more robust and automated diagnostic systems. These methods not …
driven by the need for more robust and automated diagnostic systems. These methods not …
[HTML][HTML] Orthopantomogram teeth segmentation and numbering dataset
With the digitization of radiographs, vast amounts of data have become accessible, enabling
the curation and development of extensive datasets. Among radiographic modalities …
the curation and development of extensive datasets. Among radiographic modalities …