Literature DB >> 6591953

A preliminary study of computer recognition and identification of skeletal landmarks as a new method of cephalometric analysis.

A M Cohen, H H Ip, A D Linney.   

Abstract

The usefulness of results obtained with cephalometrics is limited by measurement error. Much of this is due to the subjective nature of landmark identification on X-rays. Such subjectivity is not eliminated by electronic plotting equipment - despite its high resolution. Automatic (non-subjective) landmark identification of sella and menton was carried out in this study using the CLIP4 image processing system. The results obtained on 23 radiographs were compared with those of conventional techniques.

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Year:  1984        PMID: 6591953     DOI: 10.1179/bjo.11.3.143

Source DB:  PubMed          Journal:  Br J Orthod        ISSN: 0301-228X


  3 in total

1.  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

2.  Automated identification of cephalometric landmarks: Part 1-Comparisons between the latest deep-learning methods YOLOV3 and SSD.

Authors:  Ji-Hoon Park; Hye-Won Hwang; Jun-Ho Moon; Youngsung Yu; Hansuk Kim; Soo-Bok Her; Girish Srinivasan; Mohammed Noori A Aljanabi; Richard E Donatelli; Shin-Jae Lee
Journal:  Angle Orthod       Date:  2019-07-08       Impact factor: 2.079

Review 3.  Cephalometric Analysis in Orthodontics Using Artificial Intelligence-A Comprehensive Review.

Authors:  Aravind Kumar Subramanian; Yong Chen; Abdullah Almalki; Gautham Sivamurthy; Dashrath Kafle
Journal:  Biomed Res Int       Date:  2022-06-16       Impact factor: 3.246

  3 in total

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