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Dental Age Estimation: A Machine Learning Perspective · Study

WorkDental Age Estimation: A Machine Learning Perspective

Jiang Tao2019

Work2019

Dental Age Estimation: A Machine Learning Perspective

Jiang Tao · Jian Wang · Andrew Wang · Zhangqian Xie · Ziheng Wang · Shaozhi Wu +2 more

32 citations·0/0 files stored·Advances in intelligent systems and computing

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Forensic Anthropology and Bioarchaeology Studies Artificial Intelligence in Healthcare Face recognition and analysis

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References

1973A new system of dental age assessment.2001Dental Age Estimation in Belgian Children: Demirjian's Technique Revisited 2000Age estimation: The state of the art in relation to the specific demands of forensic practise 2001A review of the most commonly used dental age estimation techniques.2014Reliability and validity of five radiographic dental‐age estimation methods in a population of Malaysian children 2016Accuracy of the estimation of dental age in comparison with chronological age in a Spanish sample of 2641 living subjects using the Demirjian and Nolla methods 2013Dental age assessment validity of radiographic methods on Serbian children population 2014Dental age assessment in 7–14-year-old Chinese children: Comparison of Demirjian and Willems methods

Cited by

2023Validation of data mining models by comparing with conventional methods for dental age estimation in Korean juveniles and young adults 2024Dental age estimation: A comparative study of convolutional neural network and Demirjian's method 2023Application of entire dental panorama image data in artificial intelligence model for age estimation 2024Efficacy of the methods of age determination using artificial intelligence in panoramic radiographs — a systematic review

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2018Applicability and accuracy of Demirjian and Willems methods in a population of Eastern Chinese subadultsarticle · 8 shared references 2017Willems method of dental age estimation in children: A systematic review and meta-analysisreview · 7 shared references 2021Age estimation in the living: A scoping review of population data for skeletal and dental methodsreview · 7 shared references 2020Accuracy of the Demirjian, Willems and Nolla methods for dental age estimation in a northern Chinese populationarticle · 7 shared references 2021A modified dental age assessment method for 5- to 16-year-old eastern Chinese childrenarticle · 7 shared references 2022Dental age estimation of Tibetan children and adolescents: Comparison of Demirjian, Willems methods and a newly modified Demirjian methodarticle · 7 shared references

Details

Year2019

Typeother

Published2019-03-16

VenueAdvances in intelligent systems and computing

ISSN-L2194-5357

Languageen

Citations32

Files0 public / 0

ShelfForensic Anthropology and Bioarchaeology Studies

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doi10.1007/978-3-030-14118-9_71

openalex_workW2932697162

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2022Evaluation of a machine learning algorithms for predicting the dental age of adolescent based on different preprocessing methods

2024Do machine learning methods solve the main pitfall of linear regression in dental age estimation?

2022Efficacy of machine learning assisted dental age assessment in local population