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 …
growth disorders of a child or providing a more patient-specific treatment. However, as …
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 …
of medical problems. X-ray images of hands are observed in the evaluation of bone age …
Automated bone age assessment with image registration using hand X-ray images
MA Zulkifley, SR Abdani, NH Zulkifley - Applied Sciences, 2020 - mdpi.com
One of the methods for identifying growth disorder is by assessing the skeletal bone age. A
child with a healthy growth rate will have approximately the same chronological and bone …
child with a healthy growth rate will have approximately the same chronological and bone …
Regression convolutional neural network for automated pediatric bone age assessment from hand radiograph
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 …
and genetic and growth disorders of children. However, clinical interpretation and bone age …
Automatic feature extraction in X-ray image based on deep learning approach for determination of bone age
X Chen, J Li, Y Zhang, Y Lu, S Liu - Future Generation Computer Systems, 2020 - Elsevier
Aim: Determination of bone age is an important method to skeletal maturity and growth
potential. This paper proposes a determination bone age via X-ray image recognition to …
potential. This paper proposes a determination bone age via X-ray image recognition to …
A deep automated skeletal bone age assessment model with heterogeneous features learning
Skeletal bone age assessment is a widely used standard procedure in both disease
detection and growth prediction for children in endocrinology. Conventional manual …
detection and growth prediction for children in endocrinology. Conventional manual …
A bone age assessment system for real-world X-ray images based on convolutional neural networks
J Guo, J Zhu, H Du, B Qiu - Computers & Electrical Engineering, 2020 - Elsevier
It is of vast significance to assess the bone age of hand radiographs automatically in
pediatric radiology and legal medicine. In the literature, many papers focus on improving the …
pediatric radiology and legal medicine. In the literature, many papers focus on improving the …
Bone age estimation using deep learning and hand X-ray images
JH Lee, YJ Kim, KG Kim - Biomedical engineering letters, 2020 - Springer
Bones during growth period undergo substantial changes in shape and size. X-ray imaging
has been routinely used for bone growth diagnosis purpose. Hand has been the part of …
has been routinely used for bone growth diagnosis purpose. Hand has been the part of …
Deep learning for automated skeletal bone age assessment in X-ray images
Skeletal bone age assessment is a common clinical practice to investigate endocrinology,
genetic and growth disorders in children. It is generally performed by radiological …
genetic and growth disorders in children. It is generally performed by radiological …
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 …
of X-ray images of the hand bone. In practice, the workload is huge, resource consumption is …