Automatic cephalometric analysis: a systematic review

R Leonardi, D Giordano, F Maiorana… - The Angle …, 2008 - meridian.allenpress.com
Objective: To describe the techniques used for automatic landmarking of cephalograms,
highlighting the strengths and weaknesses of each one and reviewing the percentage of …

Fully automated quantitative cephalometry using convolutional neural networks

SÖ Arık, B Ibragimov, L **ng - Journal of Medical Imaging, 2017 - spiedigitallibrary.org
Quantitative cephalometry plays an essential role in clinical diagnosis, treatment, and
surgery. Development of fully automated techniques for these procedures is important to …

Artificial Intelligence for radiographic image analysis

S Mehta, Y Suhail, J Nelson, M Upadhyay - Seminars in Orthodontics, 2021 - Elsevier
Automated identification of landmarks on lateral cephalogram and cone-beam computed
tomography (CBCT) scans can save time for the clinicians and act as a second set of eyes …

Cascaded convolutional networks for automatic cephalometric landmark detection

M Zeng, Z Yan, S Liu, Y Zhou, L Qiu - Medical Image Analysis, 2021 - Elsevier
Cephalometric analysis is a fundamental examination which is widely used in orthodontic
diagnosis and treatment planning. Its key step is to detect the anatomical landmarks in …

Evaluation and comparison of anatomical landmark detection methods for cephalometric x-ray images: a grand challenge

CW Wang, CT Huang, MC Hsieh, CH Li… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Cephalometric analysis is an essential clinical and research tool in orthodontics for the
orthodontic analysis and treatment planning. This paper presents the evaluation of the …

Cephalometric landmark detection by attentive feature pyramid fusion and regression-voting

R Chen, Y Ma, N Chen, D Lee, W Wang - … 17, 2019, Proceedings, Part III 22, 2019 - Springer
Marking anatomical landmarks in cephalometric radiography is a critical operation in
cephalometric analysis. Automatically and accurately locating these landmarks is a …

Automatic analysis of lateral cephalograms based on multiresolution decision tree regression voting

S Wang, H Li, J Li, Y Zhang… - Journal of healthcare …, 2018 - Wiley Online Library
Cephalometric analysis is a standard tool for assessment and prediction of craniofacial
growth, orthodontic diagnosis, and oral‐maxillofacial treatment planning. The aim of this …

Automated 2-D cephalometric analysis on X-ray images by a model-based approach

W Yue, D Yin, C Li, G Wang, T Xu - IEEE transactions on …, 2006 - ieeexplore.ieee.org
Craniofacial landmark localization and anatomical structure tracing on cephalograms are
two important ways to obtain the cephalometric analysis. In order to computerize them in …

Linear dimensionality reduction using relevance weighted LDA

EK Tang, PN Suganthan, X Yao, AK Qin - Pattern recognition, 2005 - Elsevier
The linear discriminant analysis (LDA) is one of the most traditional linear dimensionality
reduction methods. This paper incorporates the inter-class relationships as relevance …

The accuracy of a designed software for automated localization of craniofacial landmarks on CBCT images

S Shahidi, E Bahrampour, E Soltanimehr, A Zamani… - BMC medical …, 2014 - Springer
Background Two-dimensional projection radiographs have been traditionally considered the
modality of choice for cephalometric analysis. To overcome the shortcomings of two …