Preliminary application of a cervical vertebra segmentation method based on Transformer and diffusion model for lateral cephalometric radiographs in orthodontic clinical practice

Preliminary application of a cervical vertebra segmentation method based on Transformer and diffusion model for lateral cephalometric radiographs in orthodontic clinical practice

Objective·To construct a cervical vertebra image segmentation model by using a diffusion model with the Transformer deep learning algorithm, and evaluate its segmentation performance, to address the clinical challenge of accurately assessing complex changes in skeletal morphology during the growth a...

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Bibliographic Details
Main Authors: LIU Yang, WU Mengyi, HU Yao, QI Kun, WANG Yubin, ZHAO Yue, SONG Jinlin
Format: Article
Language:zho
Published: Editorial Office of Journal of Shanghai Jiao Tong University (Medical Science) 2024-12-01
Series:Shanghai Jiaotong Daxue xuebao. Yixue ban
Subjects:
diffusion model
cervical vertebra segmentation
deep learning
lateral cephalometric radiograph
Online Access:https://xuebao.shsmu.edu.cn/article/2024/1674-8115/1674-8115-2024-44-12-1579.shtml
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