Comparison of mandibular morphometric parameters in digital panoramic radiography in gender determination using machine learning.

Journal: Oral radiology
Published Date: Apr 16, 2024

Abstract

OBJECTIVE: This study aimed to evaluate the usability of morphometric features obtained from mandibular panoramic radiographs in gender determination using machine learning algorithms.

Authors

  • Hanife Pertek
    Center for Nanotechnology & Biomaterials Application and Research (NBUAM), Marmara University, Istanbul, Turkey.
  • Mustafa Kamasak
    Department of Computer and Informatics, Istanbul Technical University, Istanbul, Turkey.
  • Soner Kotan
    Department of Computer Education and Instructional Technologies, Atatürk Faculty of Education, Marmara University, Istanbul, Turkey.
  • Fatma Pertek Hatipoğlu
    Department of Endodontics, Faculty of Dentistry, Niğde Ömer Halisdemir University, Niğde, Turkey.
  • Ömer Hatipoğlu
    Department of Restorative Dentistry, Faculty of Dentistry, Niğde Ömer Halisdemir University, Niğde, Turkey. omerhtp@gmail.com.
  • Taha Emre Kose
    Faculty of Dentistry, Department of Oral and Maxillofacial Radiology, Recep Tayyip Erdoğan University, Rize, Turkey.

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