Gender Estimation from Morphometric Measurements of Mandibular Lingula by Using Machine Learning Algorithms and Artificial Neural Networks.

Journal: Nigerian journal of clinical practice

PMID: 38943297

Abstract

BACKGROUND: Sex determination from the bones is of great importance for forensic medicine and anthropology. The mandible is highly valued because it is the strongest, largest and most dimorphic bone in the skull.

Authors

D Şenol

Department of Anatomy, Düzce University Faculty of Medicine, Düzce, Turkey.
F Bodur

Department of Anatomy, Zonguldak Bülent Ecevit University Faculty of Medicine, Zonguldak, Turkey.
Y Seçgin

Department of Anatomy, Karabük University Faculty of Medicine Karabük, Turkey.
D Şencan

Department of General Surgery, Ankara University Faculty of Medicine Hospital, Ankara, Turkey.
Ş B Duman

Department of Oral, Dental and Maxillofacial Radiology, İnönü University Faculty of Dentistry, Malatya, Turkey.
Z Öner

Department of Anatomy, İzmir Bakırçay University Faculty of Medicine İzmir, Turkey.

Keywords

Adolescent Adult Algorithms Cone-Beam Computed Tomography Female Humans Imaging, Three-Dimensional Machine Learning Male Mandible Middle Aged Neural Networks, Computer Retrospective Studies Sex Determination by Skeleton Young Adult

External Resources

View on PubMed Access via DOI PubMed (38943297)

Gender Estimation from Morphometric Measurements of Mandibular Lingula by Using Machine Learning Algorithms and Artificial Neural Networks.

Abstract

Authors

Keywords

External Resources

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