ANINet: a deep neural network for skull ancestry estimation.

Journal: BMC bioinformatics
Published Date: Nov 11, 2021

Abstract

BACKGROUND: Ancestry estimation of skulls is under a wide range of applications in forensic science, anthropology, and facial reconstruction. This study aims to avoid defects in traditional skull ancestry estimation methods, such as time-consuming and labor-intensive manual calibration of feature points, and subjective results.

Authors

  • Lin Pengyue
    College of Information Science and Technology, Northwest University, Xi'an, China.
  • Xia Siyuan
    College of Information Science and Technology, Northwest University, Xi'an, China.
  • Jiang Yi
    College of Information Science and Technology, Northwest University, Xi'an, China.
  • Yang Wen
    Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Liu Xiaoning
    College of Information Science and Technology, Northwest University, Xi'an, China. xnliu@nwu.edu.cn.
  • Geng Guohua
    College of Information Science and Technology, Northwest University, Xi'an, China.
  • Wang Shixiong
    College of Information Science and Technology, Northwest University, Xi'an, China.

Keywords

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