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

Imaging Informatics (193) Ubiquitous Health (uHealth) (123) Clinical Information and Decision Making (1407) Clinical Informatics (1022) Dental Sciences (119) Dental Education and Training for Dentists and Dental Students (33)

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 (8) 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