Use of the deep learning approach to measure alveolar bone level

Author:

Lee Chun‐Teh1ORCID,Kabir Tanjida2,Nelson Jiman1,Sheng Sally1,Meng Hsiu‐Wan1,Van Dyke Thomas E.34,Walji Muhammad F.5,Jiang Xiaoqian2,Shams Shayan26

Affiliation:

1. Department of Periodontics and Dental Hygiene The University of Texas Health Science Center at Houston School of Dentistry Houston Texas USA

2. School of Biomedical Informatics The University of Texas Health Science Center at Houston Houston Texas USA

3. Center for Clinical and Translational Research The Forsyth Institute Cambridge Massachusetts USA

4. Department of Oral Medicine, Infection, and Immunity, Faculty of Medicine Harvard University Boston Massachusetts USA

5. Department of Diagnostic and Biomedical Sciences The University of Texas Health Science Center at Houston School of Dentistry Houston Texas USA

6. Department of Applied Data Science San Jose State University San Jose California USA

Funder

Cancer Prevention and Research Institute of Texas

National Institutes of Health

University of Texas System

Publisher

Wiley

Subject

Periodontics

Reference34 articles.

1. Abadi M. Barham P. Chen J. Chen Z. Davis A. Dean J. Devin M. Ghemawat S. Irving J. Isard M.&Kudlur M.(2016). Tensorflow: A system for large‐scale machine learning. In 12th {USENIX} symposium on operating systems design and implementation ({OSDI} 16) (pp. 265‐283).

2. Comparison of panoramic and intraoral radiography and pocket probing for the measurement of the marginal bone level

3. Position Paper: Diagnosis of Periodontal Diseases

4. Accuracy and reproducibility of two manual periodontal probes. An in vitro study

5. Deep learning hybrid method to automatically diagnose periodontal bone loss and stage periodontitis;Chang H.‐J.;Scientific Reports,2020

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