Literature DB >> 8942096

Assessment of an automated cephalometric analysis system.

D B Forsyth1, D N Davis.   

Abstract

A system is described which automatically identifies cephalometric landmarks on digital cephalometric radiographs. The accuracy of the automated system in identifying nineteen cephalometric landmarks is assessed. The accuracy obtained with the automated system is less than that of manual tracing. The automated system has particular difficulty in identifying landmarks which lie on poorly defined structures where there is a poor signal to noise ratio.

Mesh:

Year:  1996        PMID: 8942096     DOI: 10.1093/ejo/18.5.471

Source DB:  PubMed          Journal:  Eur J Orthod        ISSN: 0141-5387            Impact factor:   3.075


  10 in total

1.  Cephalometric image analysis and measurement for orthognathic surgery.

Authors:  J Yang; X Ling; Y Lu; M Wei; G Ding
Journal:  Med Biol Eng Comput       Date:  2001-05       Impact factor: 2.602

2.  The reliability and reproducibility of cephalometric measurements: a comparison of conventional and digital methods.

Authors:  S F Albarakati; K S Kula; A A Ghoneima
Journal:  Dentomaxillofac Radiol       Date:  2012-01       Impact factor: 2.419

3.  Computer-aided automated landmarking of cephalograms.

Authors:  T Stamm; H A Brinkhaus; U Ehmer; N Meier; F Bollmann
Journal:  J Orofac Orthop       Date:  1998       Impact factor: 1.938

4.  Fully automated quantitative cephalometry using convolutional neural networks.

Authors:  Sercan Ö Arık; Bulat Ibragimov; Lei Xing
Journal:  J Med Imaging (Bellingham)       Date:  2017-01-06

5.  Artificial intelligence in orthodontics : Evaluation of a fully automated cephalometric analysis using a customized convolutional neural network.

Authors:  Felix Kunz; Angelika Stellzig-Eisenhauer; Florian Zeman; Julian Boldt
Journal:  J Orofac Orthop       Date:  2019-12-18       Impact factor: 1.938

6.  Accuracy of computerized automatic identification of cephalometric landmarks by a designed software.

Authors:  Sh Shahidi; S Shahidi; M Oshagh; F Gozin; P Salehi; S M Danaei
Journal:  Dentomaxillofac Radiol       Date:  2013       Impact factor: 2.419

7.  Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms.

Authors:  Claudia Lindner; Ching-Wei Wang; Cheng-Ta Huang; Chung-Hsing Li; Sheng-Wei Chang; Tim F Cootes
Journal:  Sci Rep       Date:  2016-09-20       Impact factor: 4.379

8.  Ceph-X: development and evaluation of 2D cephalometric system.

Authors:  Mogeeb Ahmed Ahmed Mosleh; Mohd Sapiyan Baba; Sorayya Malek; Rasheed A Almaktari
Journal:  BMC Bioinformatics       Date:  2016-12-22       Impact factor: 3.169

9.  Automatic Analysis of Lateral Cephalograms Based on Multiresolution Decision Tree Regression Voting.

Authors:  Shumeng Wang; Huiqi Li; Jiazhi Li; Yanjun Zhang; Bingshuang Zou
Journal:  J Healthc Eng       Date:  2018-11-19       Impact factor: 2.682

10.  An evaluation of cellular neural networks for the automatic identification of cephalometric landmarks on digital images.

Authors:  Rosalia Leonardi; Daniela Giordano; Francesco Maiorana
Journal:  J Biomed Biotechnol       Date:  2009-09-10
  10 in total

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