Machine learning as new approach for predicting of maxillary sinus volume, a sexual dimorphic study-Reference-Cited by-同舟云学术

Machine learning as new approach for predicting of maxillary sinus volume, a sexual dimorphic study

Published:2023-06 Issue:2 Volume:16 Page:100570
ISSN:1687-8507
Container-title:Journal of Radiation Research and Applied Sciences
language:en
Short-container-title:Journal of Radiation Research and Applied Sciences

Author:

Hamd Zuhal Y.,Aljuaid Hanan,Alorainy Amal.I,Osman Eyas G.,Abuzaid Mohamed,Elshami Wiam,Elhussein Nagwan,Gareeballah Awadia,Pathan Refat Khan,Naseer K.A.,Khandaker Mayeen Uddin,Ahmed Wegdan

Publisher

Elsevier BV

Subject

General Medicine

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1. Maxillary Sinus Disease Detection and Analysis Approaches in Deep Learning: Survey;2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS);2024-04-17

2. Transfer Learning-Based Classification of Maxillary Sinus Using Generative Adversarial Networks;Applied Sciences;2024-04-06

3. Biological sex variation of the maxillary sinus utilizing 3D computerized tomography within a modern United States population;Forensic Imaging;2024-03

4. The Accuracy of Sex Identification Using CBCT Morphometric Measurements of the Mandible, with Different Machine-Learning Algorithms—A Retrospective Study;Diagnostics;2023-07-11