A deep automated skeletal bone age assessment model via region-based convolutional neural network

B Liang, Y Zhai, C Tong, J Zhao, J Li, X He… - Future Generation …, 2019 - Elsevier
Skeletal bone age assessment is widely applied in growth prediction and auxiliary diagnosis
of medical problems. X-ray images of hands are observed in the evaluation of bone age …

[HTML][HTML] Intelligent bone age assessment: An automated system to detect a bone growth problem using convolutional neural networks with attention mechanism

MA Zulkifley, NA Mohamed, SR Abdani, NAM Kamari… - Diagnostics, 2021 - mdpi.com
Skeletal bone age assessment using X-ray images is a standard clinical procedure to detect
any anomaly in bone growth among kids and babies. The assessed bone age indicates the …

Skeletal bone age prediction based on a deep residual network with spatial transformer

Y Han, G Wang - Computer Methods and Programs in Biomedicine, 2020 - Elsevier
Objective Bone age prediction can be performed by medical experts manually assessment
of X-ray images of the hand bone. In practice, the workload is huge, resource consumption is …

[PDF][PDF] Bone age assessment from articular surface and epiphysis using deep neural networks

Y Deng, Y Chen, Q He, X Wang, Y Liao… - Math. Biosci …, 2023 - pdfs.semanticscholar.org
Bone age assessment is of great significance to genetic diagnosis and endocrine diseases.
Traditional bone age diagnosis mainly relies on experienced radiologists to examine the …

[HTML][HTML] A deep learning-based computer-aided diagnosis method of X-ray images for bone age assessment

S Li, B Liu, S Li, X Zhu, Y Yan, D Zhang - Complex & Intelligent Systems, 2022 - Springer
Bone age assessment using hand-wrist X-ray images is fundamental when diagnosing
growth disorders of a child or providing a more patient-specific treatment. However, as …

Bone age assessment based on deep convolution neural network incorporated with segmentation

Y Gao, T Zhu, X Xu - International journal of computer assisted radiology …, 2020 - Springer
Purpose Bone age assessment is not only an important means of assessing maturity of
adolescents, but also plays an indispensable role in the fields of orthodontics, kinematics …

A deep automated skeletal bone age assessment model with heterogeneous features learning

C Tong, B Liang, J Li, Z Zheng - Journal of medical systems, 2018 - Springer
Skeletal bone age assessment is a widely used standard procedure in both disease
detection and growth prediction for children in endocrinology. Conventional manual …

Landmark‐based multi‐region ensemble convolutional neural networks for bone age assessment

S Cao, Z Chen, C Li, C Lv, T Wu… - International Journal of …, 2019 - Wiley Online Library
Bone age assessment based on hand X‐ray imaging is important in pediatry medicine. At
present, prediction of bone age is mainly performed by the manual comparison with the …

Regression convolutional neural network for automated pediatric bone age assessment from hand radiograph

X Ren, T Li, X Yang, S Wang, S Ahmad… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Skeletal bone age assessment is a common clinical practice to investigate endocrinology,
and genetic and growth disorders of children. However, clinical interpretation and bone age …

Bone age assessment model based on multi-dimensional feature fusion using deep learning

MQ LIU - Academic journal of second military medical …, 2018 - pesquisa.bvsalud.org
Objective To evaluate the bone age of children using deep convolutional neural network
based on feature extraction combined with key features and demographic information …