DeepPlaq: Dental plaque indexing based on deep neural networks.

Journal: Clinical oral investigations
PMID: 39302479

Abstract

OBJECTIVES: The selection of treatment for dental plaque is closely related to the condition of the plaque on different teeth. This study validated the ability of CNN models in assessing the dental plaque indices.

Authors

  • Xu Chen
    School of Pharmaceutical Sciences, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.
  • Yiran Shen
    School of Software, Shandong University, Shandong, 250101, China.
  • Jin-Sun Jeong
    School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Shandong, 250012, China.
  • Hiran Perinpanayagam
    Schulich School of Medicine & Dentistry, University of Western Ontario, London, ON, Canada.
  • Kee-Yeon Kum
    Department of Conservative Dentistry, Dental Research Institute, National Dental Care Center for the Disabled, Seoul National University Dental Hospital, Seoul National University School of Dentistry, 03080 101 Deahak-Ro, Jondro-Gu, Seoul, Republic of Korea.
  • Yu Gu
    Microsoft Research, Redmond, WA, USA.

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