This paper is in the following e-collection/theme issue:

Imaging Informatics (245) Ubiquitous Health (uHealth) (131) Clinical Information and Decision Making (1711) Clinical Informatics (1184) Dental Sciences (143) Dental Education and Training for Dentists and Dental Students (43)

Published on in Vol 10, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38640, first published .
Tooth-Related Disease Detection System Based on Panoramic Images and Optimization Through Automation: Development Study

Tooth-Related Disease Detection System Based on Panoramic Images and Optimization Through Automation: Development Study

Tooth-Related Disease Detection System Based on Panoramic Images and Optimization Through Automation: Development Study

Authors of this article:

Changgyun Kim1 Author Orcid Image ;   Hogul Jeong1 Author Orcid Image ;   Wonse Park2 Author Orcid Image ;   Donghyun Kim1 Author Orcid Image
Article Authors Cited by (14) Tweetations (3) Metrics

Journals

  1. Sivari E, Senirkentli G, Bostanci E, Guzel M, Acici K, Asuroglu T. Deep Learning in Diagnosis of Dental Anomalies and Diseases: A Systematic Review. Diagnostics 2023;13(15):2512 View
  2. Wang S, Liang S, Chang Q, Zhang L, Gong B, Bai Y, Zuo F, Wang Y, Xie X, Gu Y. STSN-Net: Simultaneous Tooth Segmentation and Numbering Method in Crowded Environments with Deep Learning. Diagnostics 2024;14(5):497 View
  3. Zanini L, Rubira-Bullen I, Nunes F. A Systematic Review on Caries Detection, Classification, and Segmentation from X-Ray Images: Methods, Datasets, Evaluation, and Open Opportunities. Journal of Imaging Informatics in Medicine 2024 View
  4. Ndiaye A, Gasqui M, Millioz F, Perard M, Leye Benoist F, Grosgogeat B. Exploring the Methodological Approaches of Studies on Radiographic Databases Used in Cariology to Feed Artificial Intelligence: A Systematic Review. Caries Research 2024;58(3):117 View
  5. Pul U, Schwendicke F. Artificial intelligence for detecting periapical radiolucencies: A systematic review and meta-analysis. Journal of Dentistry 2024;147:105104 View
  6. Bhat S, Birajdar G, Patil M. Enhanced Diagnostic Accuracy for Dental Caries and Anomalies in Panoramic Radiographs Using a Custom Deep Learning Model. Cureus 2024 View
  7. Zanini L, Rubira-Bullen I, Nunes F. Enhancing dental caries classification in CBCT images by using image processing and self-supervised learning. Computers in Biology and Medicine 2024;183:109221 View
  8. ABBOTT L, SAIKIA A, ANTHONAPPA R. ARTIFICIAL INTELLIGENCE PLATFORMS IN DENTAL CARIES DETECTION: A SYSTEMATIC REVIEW AND META-ANALYSIS. Journal of Evidence-Based Dental Practice 2025;25(1):102077 View
  9. Durmuş M, Ergen B, Çelebi A, Türkoğlu M. Comparative Analysis of Pixel-Based Segmentation Models for Accurate Detection of Impacted Teeth on Panoramic Radiographs. IEEE Access 2025;13:6262 View
  10. Bansal R, Arya A, Singh B, Singla M. Comparative Efficiency of Artificial Intelligence in Detecting Periapical Lesions Using Periapical Radiographs, Orthopantomogram, and Cone-beam Computed Tomography: A Scoping Review. Indian Journal of Dental Sciences 2025;17(1):32 View
  11. Wu Z, Huangjian , Zhengsong . A Feature Selection and Enhanced Reuse Framework for Detection and Classification of Dental Diseases in Panoramic Dental X-Rays Images. IEEE Access 2025;13:70741 View
  12. Hong Y, Pan T, Zhu S, Hu M, Zhou Z, Xu T. A visualization system for intelligent diagnosis and statistical analysis of oral diseases based on panoramic radiography. Scientific Reports 2025;15(1) View

Conference Proceedings

  1. Mabel Rani A, Suseela R, Anbunathan R, Selvi K, Senthil P, Kumaran G. 2024 2nd World Conference on Communication & Computing (WCONF). INNS: A Novel Identification of Machine Learning Based Dental Disease Identification Scheme Using Improved Neural Network Strategy View
  2. Gopinath B, Santhi R, Bindhu V. 2024 9th International Conference on Communication and Electronics Systems (ICCES). Deep U-Net Based Dental Caries Detection and Classification in Panoramic X-Ray Images View