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 …
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 …
Bone age assessment based on two-stage deep neural networks
M Chu, B Liu, F Zhou, X Bai… - 2018 Digital Image …, 2018 - ieeexplore.ieee.org
Skeletal bone age assessment is a clinical practice to diagnose the maturity of children. To
accurately assess the bone age, we proposed an automatic bone age assessment method …
accurately assess the bone age, we proposed an automatic bone age assessment method …
Bone age assessment based on deep convolution neural network incorporated with segmentation
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 …
adolescents, but also plays an indispensable role in the fields of orthodontics, kinematics …
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 …
Multi-task convolutional neural network for joint bone age assessment and ossification center detection from hand radiograph
Bone age assessment is a common clinical procedure to diagnose endocrine and metabolic
disorders in children. Recently, a variety of convolutional neural network based approaches …
disorders in children. Recently, a variety of convolutional neural network based approaches …
Ridge regression neural network for pediatric bone age assessment
Bone age is an important measure for assessing the skeletal and biological maturity of
children. Delayed or increased bone age is a serious concern for pediatricians, and needs …
children. Delayed or increased bone age is a serious concern for pediatricians, and needs …
Paediatric bone age assessment using deep convolutional neural networks
Skeletal bone age assessment is a common clinical practice to diagnose endocrine and
metabolic disorders in child development. In this paper, we describe a deep learning …
metabolic disorders in child development. In this paper, we describe a deep learning …
Extract bone parts without human prior: End-to-end convolutional neural network for pediatric bone age assessment
C Liu, H Xie, Y Liu, Z Zha, F Lin, Y Zhang - Medical Image Computing and …, 2019 - Springer
Pediatric bone age assessment (BAA) is a common clinical practice to investigate
endocrinology, genetic and growth disorders of children. The morphological characters of …
endocrinology, genetic and growth disorders of children. The morphological characters of …