An Artificial Intelligence Hypothetical Approach for Masseter Muscle Segmentation on Ultrasonography in Patients With Bruxism


ORHAN K., YAZICI G. , KOLSUZ M. E. , KAFA N. , BAYRAKDAR İ. Ş. , ÇELİK Ö.

JOURNAL OF ADVANCED ORAL RESEARCH, vol.12, no.2, pp.206-213, 2021 (Journal Indexed in ESCI) identifier

  • Publication Type: Article / Article
  • Volume: 12 Issue: 2
  • Publication Date: 2021
  • Doi Number: 10.1177/23202068211005611
  • Title of Journal : JOURNAL OF ADVANCED ORAL RESEARCH
  • Page Numbers: pp.206-213

Abstract

Aim: The present study is aimed to assess the segmentation success of an artificial intelligence (AI) system based on the deep convolutional neural network (D-CNN) method for the segmentation of masseter muscles on ultrasonography (USG) images.