A Semi-Supervised Transformer-Based Deep Learning Framework for Automated Tooth Segmentation and Identification on Panoramic Radiographs

A Semi-Supervised Transformer-Based Deep Learning Framework for Automated Tooth Segmentation and Identification on Panoramic Radiographs

Automated tooth segmentation and identification on dental radiographs are crucial steps in establishing digital dental workflows. While deep learning networks have been developed for these tasks, their performance has been inferior in partially edentulous individuals. This study proposes a novel sem...

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Bibliographic Details
Main Authors: Jing Hao, Lun M. Wong, Zhiyi Shan, Qi Yong H. Ai, Xieqi Shi, James Kit Hon Tsoi, Kuo Feng Hung
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Diagnostics
Subjects:
tooth segmentation
tooth identification
Transformer neural network
semi-supervised learning
deep learning
Online Access:https://www.mdpi.com/2075-4418/14/17/1948

Internet

https://www.mdpi.com/2075-4418/14/17/1948

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