当前神经网络在基于侧位头颅影像的颈椎成熟阶段自动分类中展现出潜力

IF 4.1 4区医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE

Journal of Evidence-Based Dental Practice Pub Date : 2024-03-01 DOI:10.1016/j.jebdp.2023.101928

LINGYUN CAO (REVIEWERS), HONG HE, FANG HUA

引用次数: 0

摘要

文章标题和书目信息用于颈椎成熟度分类的神经网络：系统综述。Mathew R, Palatinus S, Padala S, Alshehri A, Awadh W, Bhandi S, Thomas J, Patil S. Angle Orthod.2022年11月1日；92（6）：796-804.资金来源未报告资金支持。研究/设计类型系统综述。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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CURRENT NEURAL NETWORKS DEMONSTRATE POTENTIAL IN AUTOMATED CERVICAL VERTEBRAL MATURATION STAGE CLASSIFICATION BASED ON LATERAL CEPHALOGRAMS

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.

Source of Funding

No financial support was reported.

Type of Study/Design

Systematic review.

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来源期刊

Journal of Evidence-Based Dental Practice DENTISTRY, ORAL SURGERY & MEDICINE-

CiteScore

6.00

自引率

16.70%

发文量

105

审稿时长

28 days

期刊介绍： 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.