Craniomaxillofacial landmarks detection in CT scans with limited labeled data via semi-supervised learning-Reference-Cited by-同舟云学术

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Craniomaxillofacial landmarks detection in CT scans with limited labeled data via semi-supervised learning

Published:2024-07 Issue:14 Volume:10 Page:e34583
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Tao Leran,Zhang Xu,Yang Yang,Cheng Mengjia,Zhang Rongbin,Qian Hongjun,Wen Yaofeng,Yu Hongbo

Funder

Shanghai Municipal Natural Science Foundation

National College Students Innovation and Entrepreneurship Training Program

National Natural Science Foundation of China

Shanghai Jiao Tong University School of Medicine

Publisher

Elsevier BV

Reference26 articles.

1. A new X- ray Technique and its application to orthodontia: the Introduction of Cephalometric Radiography;Broadbent;Angle Orthod.,1981

2. Accuracy of three-dimensional measurements using cone-beam CT;Pinsky;Dentomaxillofacial Radiol.,2006

3. Structure-aware long short-term memory network for 3D cephalometric landmark detection;Chen;IEEE Trans. Med. Imag.,2022

4. Automatic 3-dimensional cephalometric landmarking via deep learning;Dot;J. Dent. Res.,2022

5. SkullEngine: a multi-stage CNN framework for collaborative CBCT image segmentation and landmark detection;Liu;Machine learning in medical imaging MLMI (Workshop),2021

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