Gender estimation using machine learning algorithms and artificial neural networks based on parameters obtained from the sphenoid sinus

Oguzhan Harmandaoglu ¹, Yusuf Secgin ², Seren Kaya ³, Deniz Senol ³, Zulal Oner ⁴, Omer Onbas ⁵

¹ Department of Therapy And Rehabilitation, ??atalzeytin Vocational School, Kastamonu University, Kastamonu, Turkey; ² Department of Anatomy, Faculty of Medicine, Karabu??k University, Karabu??k, Turkey; ³ Department of Anatomy, Faculty of Medicine, Duzce University, Du??zce, Turkey; ⁴ Department of Anatomy, Faculty of Medicine, Izmir Bakırçay University, İzmir, Turkey; ⁵ Department of Radiology, Faculty of Medicine, Du??zce University, Du??zce, Turkey