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Deep focus approach for accurate bone age estimation from lateral cephalogram
9 references·0 citing·32 second hop
Deep focus approach for accurate bone age estimation from lateral cephalogram (2022)Deep focus approach for accurate bone age…Automated Bone Age Assessment Using Artificial Intelligence: The Future of Bone Age Assessment (2021)Automated Bone Age Assessment…Forensic age estimation for pelvic X-ray images using deep learning (2018)Forensic age estimation for p…Fully Automated Deep Learning System for Bone Age Assessment (2017)Fully Automated Deep Learning…Computerized Bone Age Estimation Using Deep Learning Based Program: Evaluation of the Accuracy and Efficiency (2017)Computerized Bone Age Estimat…Age estimation in children and young adolescents for forensic purposes using fourth cervical vertebra (C4) (2014)Age estimation in children an…Human age estimation combining third molar and skeletal development (2011)Human age estimation combinin…New formula to objectively evaluate skeletal maturation using lateral cephalometric radiographs (2007)New formula to objectively ev…Bone age assessment: a large scale comparison of the Greulich and Pyle, and Tanner and Whitehouse (TW2) methods (1999)Bone age assessment: a large …Skeletal age assessment utilizing cervical vertebrae (1975)Skeletal age assessment utili…RADIOGRAPHIC ATLAS OF SKELETAL DEVELOPMENT OF THE HAND AND WRIST (1959)Assessment of Skeletal Maturity and Prediction of Adult Height (TW2 Method) (1976)The problem of aging human remains and living individuals: A review (2009)Age estimation by magnetic resonance imaging of the distal tibial epiphysis and the calcaneum (2013)Age estimation among Brazilians: Younger or older than 18? (2015)Automatic Age Estimation and Majority Age Classification From Multi-Factorial MRI Data (2018)Radiographic evaluation of skeletal maturation. A clinically oriented method based on hand-wrist films. (1982)Criteria for age estimation in living individuals (2008)Time of mineralization of permanent teeth in children and adolescents in Gaborone, Botswana (2015)Accuracy of scoring of the epiphyses at the knee joint (SKJ) for assessing legal adult age of 18 years (2016)The third molar maturity index in indicating the legal adult age in Kosovar population (2017)Assessment of skeletal maturity and prediction of adult height:(TW3 Method) (2001)Assessment of skeletal maturity and prediction of adult height (TW3 method). (2002)Computer-assisted analysis of cervical vertebral bone age using cephalometric radiographs in Brazilian subjects (2010)Skeletal age prediction model from percentage of adult height in children and adolescents (2020)STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT (1986)Bone age: assessment methods and clinical applications (2015)Bone Age: A Handy Tool for Pediatric Providers (2017)Evaluation of Bone Age in Children: A Mini-Review (2021)The BoneXpert Method for Automated Determination of Skeletal Maturity (2009)Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks (2018)Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction (2019)Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs (2017)A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human Identification (2020)Automated age estimation of young individuals based on 3D knee MRI using deep learning (2020)Dual-Channel Capsule Generative Adversarial Network Optimized with Golden Eagle Optimization for Pediatric Bone Age Assessment from Hand X-Ray Image (2022)Cervical vertebral and dental maturity in Turkish subjects (2007)Bone Age Assessment Empowered with Deep Learning: A Survey, Open Research Challenges and Future Directions (2020)Applications of artificial intelligence in forensic sciences: Current potential benefits, limitations and perspectives (2022)Clinical Validation of a Deep Learning-Based Hybrid (Greulich-Pyle and Modified Tanner-Whitehouse) Method for Bone Age Assessment (2021)Bone age assessment based on deep neural networks with annotation-free cascaded critical bone region extraction (2023)Bone Age Assessment Using Artificial Intelligence in Korean Pediatric Population: A Comparison of Deep-Learning Models Trained With Healthy Chronological and Greulich-Pyle Ages as Labels (2023)
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References

  • 2017Fully Automated Deep Learning System for Bone Age Assessment452 cited
  • 1975Skeletal age assessment utilizing cervical vertebrae279 cited
  • 1999Bone age assessment: a large scale comparison of the Greulich and Pyle, and Tanner and Whitehouse (TW2) methods248 cited
  • 2017Computerized Bone Age Estimation Using Deep Learning Based Program: Evaluation of the Accuracy and Efficiency168 cited
  • 2011Human age estimation combining third molar and skeletal development98 cited
  • 2018Forensic age estimation for pelvic X-ray images using deep learning84 cited
  • 2007New formula to objectively evaluate skeletal maturation using lateral cephalometric radiographs67 cited
  • 2021Automated Bone Age Assessment Using Artificial Intelligence: The Future of Bone Age Assessment65 cited
  • 2014Age estimation in children and young adolescents for forensic purposes using fourth cervical vertebra (C4)49 cited

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