{"title":"CURRENT NEURAL NETWORKS DEMONSTRATE POTENTIAL IN AUTOMATED CERVICAL VERTEBRAL MATURATION STAGE CLASSIFICATION BASED ON LATERAL CEPHALOGRAMS","authors":"LINGYUN CAO (REVIEWERS), HONG HE, FANG HUA","doi":"10.1016/j.jebdp.2023.101928","DOIUrl":null,"url":null,"abstract":"<div><h3>Article Title and Bibliographic Information</h3><p>Neural networks for classification of cervical vertebrae<span> maturation: a systematic review. Mathew R, Palatinus S, Padala S, Alshehri A, Awadh W, Bhandi S, Thomas J, Patil S. Angle Orthod. 2022 Nov 1;92(6):796-804.</span></p></div><div><h3>Source of Funding</h3><p>No financial support was reported.</p></div><div><h3>Type of Study/Design</h3><p>Systematic review.</p></div>","PeriodicalId":48736,"journal":{"name":"Journal of Evidence-Based Dental Practice","volume":"24 1","pages":"Article 101928"},"PeriodicalIF":4.1000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Evidence-Based Dental Practice","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1532338223001252","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
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Abstract
Article Title and Bibliographic Information
Neural networks for classification of cervical vertebrae maturation: a systematic review. Mathew R, Palatinus S, Padala S, Alshehri A, Awadh W, Bhandi S, Thomas J, Patil S. Angle Orthod. 2022 Nov 1;92(6):796-804.
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The Journal of Evidence-Based Dental Practice presents timely original articles, as well as reviews of articles on the results and outcomes of clinical procedures and treatment. The Journal advocates the use or rejection of a procedure based on solid, clinical evidence found in literature. The Journal''s dynamic operating principles are explicitness in process and objectives, publication of the highest-quality reviews and original articles, and an emphasis on objectivity.
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