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Published in 2018 at "International Journal of Legal Medicine"
DOI: 10.1007/s00414-018-1953-y
Abstract: Age assessment is used to estimate the chronological age of an individual who lacks legal documentation. Recent studies indicate that the ossification degree of the growth plates in the knee joint correlates with chronological age…
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Keywords:
age assessment;
using convolutional;
images using;
age ... See more keywords
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Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-08943-1
Abstract: Bone age assessment is a pediatric examination that determines the difference between skeletal age and chronological age. The discrepancy between the two ages will often trigger the likelihood of genetic disorders, hormonal complications and abnormalities…
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Keywords:
age;
age assessment;
fusion learning;
bone age ... See more keywords
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Published in 2018 at "Forensic science international"
DOI: 10.1016/j.forsciint.2017.12.044
Abstract: To evaluate which method is the most applicable for estimating estimate dental age in Brazilian children, Nolla or Demirjian. For this purpose, both methods were reviewed and the differences between them brought to light. A…
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Keywords:
age assessment;
age;
dental age;
method ... See more keywords
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Published in 2019 at "Forensic science international"
DOI: 10.1016/j.forsciint.2019.01.003
Abstract: Age estimation in growing dogs is crucial not only in clinical practice but increasingly so in forensic practice as well. In the last few years, it has assumed great importance for correctly identifying the age…
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Keywords:
forensic requests;
age assessment;
age;
coming terms ... See more keywords
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Published in 2017 at "Medical Image Analysis"
DOI: 10.1016/j.media.2016.10.010
Abstract: HIGHLIGHTSTesting several Convolutional Neural Networks on for skeletal bone age assessment with X‐Ray images.BoNet: a CNN for automated skeletal age assessment able to cope with hand nonrigid deformation.First automated skeletal bone age assessment work tested…
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Keywords:
age assessment;
age;
skeletal bone;
deep learning ... See more keywords
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Published in 2018 at "Quaternary Research"
DOI: 10.1017/qua.2018.12
Abstract: Abstract Schmidt hammer (SH) sampling of 54 10Be-dated granite surfaces from the Pyrenees reveals a clear relationship between exposure and weathering through time (n=52, R 2=0.96, P
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Keywords:
age assessment;
exposure;
rapid age;
assessment glacial ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2937341
Abstract: Skeletal bone age assessment based on hand x-ray is widely used in many fields. There is an urgent need for automated method to alleviate manual labor and address the problem of intra- and inter-observer variability.…
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Keywords:
bone age;
rank monotonicity;
age assessment;
age ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3108219
Abstract: Hand bone age, as the biological age of humans, can accurately reflect the development level and maturity of individuals. Bone age assessment results of adolescents can provide a theoretical basis for their growth and development…
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Keywords:
age;
age assessment;
image;
bone age ... See more keywords
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Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2021.3095128
Abstract: Bone age assessment (BAA) is clinically important as it can be used to diagnose endocrine and metabolic disorders during child development. Existing deep learning based methods for classifying bone age use the global image as…
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Keywords:
region;
attention;
bone age;
age ... See more keywords
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1
Published in 2019 at "Journal of Forensic Sciences"
DOI: 10.1111/1556-4029.13962
Abstract: Multiple fatality incidents involving more than one child of statistically same age (including twins) can be challenging from an identification standpoint. This case details an urban fire, in which four children perished. Age assessment on…
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Keywords:
age;
identification three;
age assessment;
differential identification ... See more keywords
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Published in 2021 at "Korean Journal of Radiology"
DOI: 10.3348/kjr.2020.0941
Abstract: Bone age assessments are a complicated and lengthy process, which are prone to inter- and intra-observer variabilities. Despite the great demand for fully automated systems, developing an accurate and robust bone age assessment solution has…
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Keywords:
age;
age assessment;
automated bone;
bone age ... See more keywords