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 …
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 …
Paediatric Bone Age Assessment from Hand X-ray Using Deep Learning Approach
Bone age assessments are methods that doctors use in pediatric medicine. They are used to
assess the growth of children by analyzing X-ray images. This work focuses on the …
assess the growth of children by analyzing X-ray images. This work focuses on the …
A global-local feature fusion convolutional neural network for bone Age assessment of hand X-ray images
Q Hui, C Wang, J Weng, M Chen, D Kong - Applied Sciences, 2022 - mdpi.com
Bone age assessment plays a critical role in the investigation of endocrine, genetic, and
growth disorders in children. This process is usually conducted manually, with some …
growth disorders in children. This process is usually conducted manually, with some …
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 …
Improved automatic radiographic bone age prediction with deep transfer learning
W Tang, G Wu, G Shen - 2019 12th International Congress on …, 2019 - ieeexplore.ieee.org
Radiograph based pediatric bone age assessment plays a key role in many medical and
judiciary tasks. The traditional bone age identification techniques, such as GP method and …
judiciary tasks. The traditional bone age identification techniques, such as GP method and …
RAGCN: Region aggregation graph convolutional network for bone age assessment from X-ray images
Rapid and accurate measurement of bone age from hand X-ray images is a significant task
for children's maturity assessment and metabolic disorders diagnosis. With the development …
for children's maturity assessment and metabolic disorders diagnosis. With the development …
Skeletal bone age assessment based on deep convolutional neural networks
Abstract Bone Age Assessment (BAA) is a pediatric examination performed to determine the
difference between children's skeletal bone age and chronological age, the inconsistency …
difference between children's skeletal bone age and chronological age, the inconsistency …
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 …