Sex Prediction From the Clavicle Using Computerized Tomography Images via Traditional and Hybrid Deep Learning Models
- DOI
- 10.1002/ca.70130
- Published
- 2026-05-01
- Container
- Clinical Anatomy
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/ca.70130,
title = {Sex Prediction From the Clavicle Using Computerized Tomography Images via Traditional and Hybrid Deep Learning Models},
author = {Yusuf Secgin and Muhammet Cakmak and Deniz Senol and Seren Kaya and Oğuzhan Oztürk and Oğuzhan Harmandaoğlu and Hatice Yenigül and Eslem Yaren Bıyık and Omer Onbaş},
year = {2026},
journal = {Clinical Anatomy},
doi = {10.1002/ca.70130},
url = {https://doi.org/10.1002/ca.70130}
}RIS
TY - JOUR TI - Sex Prediction From the Clavicle Using Computerized Tomography Images via Traditional and Hybrid Deep Learning Models AU - Yusuf Secgin AU - Muhammet Cakmak AU - Deniz Senol AU - Seren Kaya AU - Oğuzhan Oztürk AU - Oğuzhan Harmandaoğlu AU - Hatice Yenigül AU - Eslem Yaren Bıyık AU - Omer Onbaş PY - 2026 JO - Clinical Anatomy DO - 10.1002/ca.70130 UR - https://doi.org/10.1002/ca.70130 ER -
APA
Secgin, Y., Cakmak, M., Senol, D., Kaya, S., Oztürk, O., Harmandaoğlu, O., Yenigül, H., Bıyık, E. Y., & Onbaş, O. (2026). Sex Prediction From the Clavicle Using Computerized Tomography Images via Traditional and Hybrid Deep Learning Models. Clinical Anatomy. https://doi.org/10.1002/ca.70130
Source records
- crossref · retrieved 2026-11-10T13:47:42.987Z