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Automated age-at-death estimation from 3D surface scans of the facies auricularis of the pelvic bone
M. Štepanovský, Z. Buk, A. Pilmann Kotěrová, J. Brůžek, Š. Bejdová, N. Techataweewan, J. Velemínská
Language English Country Ireland
Document type Journal Article
NLK
ProQuest Central
from 1997-02-07 to 2 months ago
Nursing & Allied Health Database (ProQuest)
from 1997-02-07 to 2 months ago
Health & Medicine (ProQuest)
from 1997-02-07 to 2 months ago
- MeSH
- Data Mining MeSH
- Facies MeSH
- Humans MeSH
- Face MeSH
- Pelvic Bones * diagnostic imaging MeSH
- Software MeSH
- Check Tag
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
This work presents an automated data-mining model for age-at-death estimation based on 3D scans of the auricular surface of the pelvic bone. The study is based on a multi-population sample of 688 individuals (males and females) originating from one Asian and five European identified osteological collections. Our method requires no expert knowledge and achieves similar accuracy compared to traditional subjective methods. Apart from data acquisition, the whole procedure of pre-processing, feature extraction and age estimation is fully automated and implemented as a computer program. This program is a part of a freely available web-based software tool called CoxAGE3D. This software tool is available at https://coxage3d.fit.cvut.cz/ Our age-at-death estimation method is suitable for use on individuals with known/unknown population affinity and provides moderate correlation between the estimated age and actual age (Pearson's correlation coefficient is 0.56), and a mean absolute error of 12.4 years.
References provided by Crossref.org
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- $a This work presents an automated data-mining model for age-at-death estimation based on 3D scans of the auricular surface of the pelvic bone. The study is based on a multi-population sample of 688 individuals (males and females) originating from one Asian and five European identified osteological collections. Our method requires no expert knowledge and achieves similar accuracy compared to traditional subjective methods. Apart from data acquisition, the whole procedure of pre-processing, feature extraction and age estimation is fully automated and implemented as a computer program. This program is a part of a freely available web-based software tool called CoxAGE3D. This software tool is available at https://coxage3d.fit.cvut.cz/ Our age-at-death estimation method is suitable for use on individuals with known/unknown population affinity and provides moderate correlation between the estimated age and actual age (Pearson's correlation coefficient is 0.56), and a mean absolute error of 12.4 years.
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- $a Pilmann Kotěrová, Anežka $u Department of Anthropology and Human Genetics, Faculty of Science, Charles University, Vinicna 7, Prague 12843, Czech Republic. Electronic address: koterova@natur.cuni.cz
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