@inproceedings{acc2f9cbf6e64303bb665ad8744633ad,
title = "Accuracy of Linear Measurements of Maxillary Sinus Dimensions in Gender Identification Using Machine Learning",
abstract = "Linear measurements of the maxillary sinus are useful for gender prediction. This variation could be used for forensic identification purposes in mass disasters. The study aims to evaluate the accuracy of the artificial intelligence-based technique in gender prediction using linear measurements of maxillary sinus from Cone Beam Computed Tomography CBCT scans.",
keywords = "Artificial intelligence, Forensic medicine, Gender identification, Maxillary sinus",
author = "Abdullah Al-Amodi and Uthman, \{Asmaa T.\} and Ibrahim Kamel and Shishir Shetty and Al-Rawi, \{Natheer H.\}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 14th International Conference on Developments in eSystems Engineering, DeSE 2021 ; Conference date: 07-12-2021 Through 10-12-2021",
year = "2021",
doi = "10.1109/DESE54285.2021.9719421",
language = "English",
series = "Proceedings - International Conference on Developments in eSystems Engineering, DeSE",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "407--412",
booktitle = "2021 14th International Conference on Developments in eSystems Engineering, DeSE 2021",
address = "United States",
}