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Traditional sex estimation with parameters obtained from the distal end of the humerus: an example of using machine learning algorithms in morphometric studies

Crossref DOI link: https://doi.org/10.1186/s41935-025-00504-7

Published Online: 2026-01-07

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Çayabatmaz, Büşra

Oner, Zulal

Oner, Serkan

Secgin, Yusuf
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Text and Data Mining valid from 2026-01-07

Version of Record valid from 2026-01-07
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Article History

Received: 22 January 2025

Accepted: 7 December 2025

First Online: 7 January 2026

Declarations

:

: The study was performed with the permission of İzmir Bakırçay University Non-Interventional Local Ethics Committee (IB-IRB#1065/31-05-2023). The study was a retrospective study and was performed through image archive. Informed consent was obtained from the participants and the study was conducted in accordance with the Declaration of Helsinki. The images were obtained from randomly selected CT images in the archive system of the Department of Radiology, Faculty of Medicine, İzmir Bakırçay University, between 2015 and 2023.The study was conducted within the framework of the Declaration of Helsinki and human ethics were complied with and informed consent was obtained. Human Ethics and Consent to Participate declarations: not applicable.

: All authors revised and approved the final manuscript for publication.

: The authors declare no competing interests.

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