Abstract

Cephalograms are an imaging process used by orthodontics to determine the position of cephalometric landmarks. These cephalometric landmarks are essentials to be found before any treatment to the patient can be performed. In this research, a CNN architecture to detect 31 cephalometric landmarks was proposed. The results shows that Mean Absolute Percentage Error (MAPE) of our proposed method achieves a value of 1.856%. Better than detectron2 with 2.443%.

Original languageEnglish
Title of host publicationICOIACT 2022 - 5th International Conference on Information and Communications Technology
Subtitle of host publicationA New Way to Make AI Useful for Everyone in the New Normal Era, Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages150-154
Number of pages5
ISBN (Electronic)9781665451406
DOIs
Publication statusPublished - 2022
Event5th International Conference on Information and Communications Technology, ICOIACT 2022 - Yogyakarta, Indonesia
Duration: 24 Aug 202225 Aug 2022

Publication series

NameICOIACT 2022 - 5th International Conference on Information and Communications Technology: A New Way to Make AI Useful for Everyone in the New Normal Era, Proceeding

Conference

Conference5th International Conference on Information and Communications Technology, ICOIACT 2022
Country/TerritoryIndonesia
CityYogyakarta
Period24/08/2225/08/22

Keywords

  • CNN
  • Cephalograms
  • Cephalometric Landmarks
  • Detectron2

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