Cargando…
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...
Autores principales: | Pengyue, Lin, Siyuan, Xia, Yi, Jiang, Wen, Yang, Xiaoning, Liu, Guohua, Geng, Shixiong, Wang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588617/ https://www.ncbi.nlm.nih.gov/pubmed/34763653 http://dx.doi.org/10.1186/s12859-021-04444-6 |
Ejemplares similares
-
Sex Determination of Three-Dimensional Skull Based on Improved Backpropagation Neural Network
por: Yang, Wen, et al.
Publicado: (2019) -
Skull Sex Estimation Based on Wavelet Transform and Fourier Transform
por: Yang, Wen, et al.
Publicado: (2020) -
Craniofacial Reconstruction Method Based on Region Fusion Strategy
por: Wen, Yang, et al.
Publicado: (2020) -
Density estimation using deep generative neural networks
por: Liu, Qiao, et al.
Publicado: (2021) -
Deep ancestry of collapsing networks of nomadic hunter–gatherers in Borneo
por: Lansing, J. Stephen, et al.
Publicado: (2022)