Automated segmentation of the knee for age assessment in 3D MR images using convolutional neural networks
Sign Up to like & getrecommendations! 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… read more here.
Keywords: age assessment; using convolutional; images using; age ... See more keywords
Radiographs and texts fusion learning based deep networks for skeletal bone age assessment
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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… read more here.
Keywords: age; age assessment; fusion learning; bone age ... See more keywords
Dental age assessment: Which is the most applicable method?
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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… read more here.
Keywords: age assessment; age; dental age; method ... See more keywords
Age assessment in puppies: Coming to terms with forensic requests.
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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… read more here.
Keywords: forensic requests; age assessment; age; coming terms ... See more keywords
Deep learning for automated skeletal bone age assessment in X‐ray images
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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… read more here.
Keywords: age assessment; age; skeletal bone; deep learning ... See more keywords
Rapid age assessment of glacial landforms in the Pyrenees using Schmidt hammer exposure dating (SHED)
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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 read more here.
Keywords: age assessment; exposure; rapid age; assessment glacial ... See more keywords
Artificial intelligence algorithm improves radiologists’ bone age assessment accuracy
Sign Up to like & getrecommendations! Published in 2025 at "Journal of the Chinese Medical Association"
DOI: 10.1097/jcma.0000000000001248
Abstract: Background: Artificial intelligence (AI) algorithms can provide rapid and precise radiographic bone age (BA) assessment. This study assessed the effects of an AI algorithm on the BA assessment performance of radiologists, and evaluated how automation… read more here.
Keywords: assistance; artificial intelligence; bone age; age assessment ... See more keywords
Bone Age Assessment Based on Rank-Monotonicity Enhanced Ranking CNN
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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.… read more here.
Keywords: bone age; rank monotonicity; age assessment; age ... See more keywords
Automatic Bone Age Assessment of Adolescents Based on Weakly-Supervised Deep Convolutional Neural Networks
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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… read more here.
Keywords: age; age assessment; image; bone age ... See more keywords
Attention-Guided Discriminative Region Localization and Label Distribution Learning for Bone Age Assessment
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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… read more here.
Keywords: region; attention; bone age; age ... See more keywords
Differential Identification of Three Young Housefire Victims: Methods when Age Assessment Fails
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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… read more here.
Keywords: age; identification three; age assessment; differential identification ... See more keywords