ANINet: a deep neural network for skull ancestry estimation

ANINet: a deep neural network for skull ancestry estimation

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 po...

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Bibliographic Details
Main Authors: Guohua, G. (Author), Pengyue, L. (Author), Shixiong, W. (Author), Siyuan, X. (Author), Wen, Y. (Author), Xiaoning, L. (Author), Yi, J. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
3d skull model
3D skull models
Ancestry classification
ANINet
article
calibration
cross validation
Cross validation
Cross-validation
deep neural network
Deep neural networks
Depth image
Depth projection
diagnostic imaging
Estimation methods
Facial reconstruction
Image enhancement
image processing
Image Processing, Computer-Assisted
Labour-intensive
learning
major clinical study
Neural Networks, Computer
residual neural network
skull
Skull
Skull models
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