Caries detection with tooth surface segmentation on intraoral photographic images using deep learning.

Journal: BMC oral health
Published Date: Dec 7, 2022

Abstract

BACKGROUND: Intraoral photographic images are helpful in the clinical diagnosis of caries. Moreover, the application of artificial intelligence to these images has been attempted consistently. This study aimed to evaluate a deep learning algorithm for caries detection through the segmentation of the tooth surface using these images.

Authors

  • Eun Young Park
    Lumimac, Inc, B1, 4, Dongnam-ro 2 gil, Songpa-gu, Seoul, Republic of Korea.
  • Hyeonrae Cho
    Research Center for Artificial Intelligence in Medicine, Kyungpook National University Hospital, Daegu, South Korea.
  • Sohee Kang
    Department of Dentistry, College of Medicine, Yeungnam University, Daegu, South Korea.
  • Sungmoon Jeong
    Department of Medical Informatics, School of Medicine, Kyungpook National University, Daegu, South Korea.
  • Eun-Kyong Kim
    Department of Dental Hygiene, College of Science and Technology, Kyungpook National University, 2559 Gyeongsangde-ro, Sangju, Gyeongsangbuk-do, South Korea. jinha01@naver.com.

Keywords

External Resources

Popular Topics
Recent Journals