Evaluating machine learning and neural network architectures for forensic sex estimation using mandibular ramus and notch features on panoramic radiographs.
- DOI
- 10.1007/s00414-026-03970-3
- Published
- 2026 Aug 22
- Container
- International journal of legal medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00414-026-03970-3,
title = {Evaluating machine learning and neural network architectures for forensic sex estimation using mandibular ramus and notch features on panoramic radiographs.},
author = {Amin AHR and Marya A and Gultom FP and Danarianto MD and Majedi MA and A CMSN and Auerkari EI},
year = {2026},
journal = {International journal of legal medicine},
doi = {10.1007/s00414-026-03970-3},
url = {https://doi.org/10.1007/s00414-026-03970-3}
}RIS
TY - JOUR TI - Evaluating machine learning and neural network architectures for forensic sex estimation using mandibular ramus and notch features on panoramic radiographs. AU - Amin AHR AU - Marya A AU - Gultom FP AU - Danarianto MD AU - Majedi MA AU - A CMSN AU - Auerkari EI PY - 2026 JO - International journal of legal medicine DO - 10.1007/s00414-026-03970-3 UR - https://doi.org/10.1007/s00414-026-03970-3 ER -
APA
AHR, A., A, M., FP, G., MD, D., MA, M., CMSN, A., & EI, A. (2026). Evaluating machine learning and neural network architectures for forensic sex estimation using mandibular ramus and notch features on panoramic radiographs.. International journal of legal medicine. https://doi.org/10.1007/s00414-026-03970-3
Source records
- pubmed · retrieved 2026-09-25T12:48:27.675Z