Table of Contents
Journal of Anthropology
Volume 2015, Article ID 908535, 13 pages
Research Article

The Difficulty of Sexing Skeletons from Unknown Populations

Biological Anthropology and Comparative Anatomy Research Unit, School of Medical Sciences, University of Adelaide, Adelaide 5005, Australia

Received 8 October 2015; Revised 4 December 2015; Accepted 9 December 2015

Academic Editor: Hugo Cardoso

Copyright © 2015 Ingrid Sierp and Maciej Henneberg. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Thais Torralbo Lopez-Capp, Christopher Rynn, Caroline Wilkinson, Luiz Airton Saavedra de Paiva, Edgard Michel-Crosato, and Maria Gabriela Haye Biazevic, “Discriminant analysis of mandibular measurements for the estimation of sex in a modern Brazilian sample,” International Journal of Legal Medicine, 2017. View at Publisher · View at Google Scholar
  • James Bewes, Andrew Low, Antony Morphett, F. Donald Pate, and Maciej Henneberg, “Artificial intelligence for sex determination of skeletal remains: Application of a deep learning artificial neural network to human skulls,” Journal of Forensic and Legal Medicine, 2019. View at Publisher · View at Google Scholar