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Bone age determination using only the index finger: a novel approach using a convolutional neural network compared with human radiologists

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References

1986STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT47,910 cited
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2018Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks195 cited
2018MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling90 cited
2001Effect of Knowledge of Chronologic Age on the Variability of Pediatric Bone Age Determined Using the Greulich and Pyle Standards86 cited
2008Intra- and interobserver error of the Greulich–Pyle method as used on a Danish forensic sample68 cited
1990Modified Greulich-Pyle, Tanner-Whitehouse, and Roche-Wainer-Thissen (knee) methods for skeletal age assessment in a group of Italian children and adolescents44 cited

Cited by

2021Age Estimation from Left-Hand Radiographs with Deep Learning Methods28 cited
2022RAGCN: Region Aggregation Graph Convolutional Network for Bone Age Assessment From X-Ray Images27 cited
2021Intelligent Bone Age Assessment: An Automated System to Detect a Bone Growth Problem Using Convolutional Neural Networks with Attention Mechanism26 cited
2025M-CNN-RF: A hybrid deep learning model for accurate pediatric skeletal age estimation using hand bone radiographs

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19 cited

2022Attention-based multiple-instance learning for Pediatric bone age assessment with efficient and interpretable18 cited

2021Assessment of rapidly advancing bone age during puberty on elbow radiographs using a deep neural network model17 cited

2023Hand bone age estimation using divide and conquer strategy and lightweight convolutional neural networks13 cited

2025Artificial Intelligence-Based Models for Automated Bone Age Assessment from Posteroanterior Wrist X-Rays: A Systematic Review12 cited

2023Bone age assessment from articular surface and epiphysis using deep neural networks10 cited