Accuracy of Linear Measurements of Maxillary Sinus Dimensions in Gender Identification Using Machine Learning-Reference-Cited by-同舟云学术

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Accuracy of Linear Measurements of Maxillary Sinus Dimensions in Gender Identification Using Machine Learning

Published:2021-12-07 Issue: Volume: Page:
ISSN:
Container-title:2021 14th International Conference on Developments in eSystems Engineering (DeSE)
language:
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Author:

Al-Amodi Abdullah¹,Kamel Ibrahim¹,Al-Rawi Natheer H²,Uthman AsmaaT³,Shetty Shishir²

Affiliation:

1. College of Computing Informatics, University of Sharjah,Sharjah,UAE

2. College of Dental Medicine, University of Sharjah,Sharjah,UAE

3. College of Dentistry, Gulf Medical University,Ajman,UAE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9718563/9719327/09719421.pdf?arnumber=9719421

Reference35 articles.

1. An Overview of Principal Component Analysis

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sex Estimation From the Paranasal Sinus Volumes Using Semiautomatic Segmentation, Discriminant Analyses, and Machine Learning Algorithms;American Journal of Forensic Medicine & Pathology;2023-05-26

2. Artificial Intelligence in Forensic Science;Lecture Notes in Networks and Systems;2023

3. Artificial intelligence and skull imaging advancements in forensic identification;Saudi Journal for Health Sciences;2023

4. The Use of CBCT in Evaluating the Health and Pathology of the Maxillary Sinus;Diagnostics;2022-11-16

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