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 …
Attention-guided discriminative region localization and label distribution learning for bone age assessment
Bone age assessment (BAA) is clinically important as it can be used to diagnose endocrine
and metabolic disorders during child development. Existing deep learning based methods …
and metabolic disorders during child development. Existing deep learning based methods …
Multi-task deep supervision on attention R2U-net for brain tumor segmentation
Accurate automatic medical image segmentation technology plays an important role for the
diagnosis and treatment of brain tumor. However, simple deep learning models are difficult …
diagnosis and treatment of brain tumor. However, simple deep learning models are difficult …
Self-supervised attention mechanism for pediatric bone age assessment with efficient weak annotation
C Liu, H Xie, Y Zhang - IEEE Transactions on Medical Imaging, 2020 - ieeexplore.ieee.org
Pediatric bone age assessment (BAA) is a common clinical practice to investigate
endocrinology, genetic and growth disorders of children. Different specific bone parts are …
endocrinology, genetic and growth disorders of children. Different specific bone parts are …
[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 …
Traditional bone age diagnosis mainly relies on experienced radiologists to examine the …
Attention-based multiple-instance learning for Pediatric bone age assessment with efficient and interpretable
C Wang, Y Wu, C Wang, X Zhou, Y Niu, Y Zhu… - … Signal Processing and …, 2023 - Elsevier
Pediatric bone age assessment (BAA) is a common clinical technique for evaluating
children's endocrine, genetic, and growth disorders. However, the deep learning BAA …
children's endocrine, genetic, and growth disorders. However, the deep learning BAA …
[HTML][HTML] SMANet: multi-region ensemble of convolutional neural network model for skeletal maturity assessment
Y Zhang, W Zhu, K Li, D Yan, H Liu, J Bai… - … Imaging in Medicine …, 2022 - ncbi.nlm.nih.gov
Background Bone age assessment (BAA) is a crucial research topic in pediatric radiology.
Interest in the development of automated methods for BAA is increasing. The current BAA …
Interest in the development of automated methods for BAA is increasing. The current BAA …
Multi-objective segmentation approach for bone age assessment using parameter tuning-based U-net architecture
S Deshmukh, A Khaparde - Multimedia Tools and Applications, 2022 - Springer
Bone age assessment investigates the ossification improvement for estimating the skeletal
age of the pediatrics for analyzing their skeletal growth and forecast their future adult height …
age of the pediatrics for analyzing their skeletal growth and forecast their future adult height …
Multi-scale multi-reception attention network for bone age assessment in X-ray images
Bone age assessment plays a significant role in estimating bone maturity. However,
radiograph/X-ray images of hand bones contain a large amount of redundant information …
radiograph/X-ray images of hand bones contain a large amount of redundant information …
Adaptive Critical Region Extraction Net via relationship modeling for bone age assessment
M Chen, J Wu, F Luo, J Zhang, M Zhang… - … Signal Processing and …, 2023 - Elsevier
Bone age assessment is an efficient clinical practice to diagnose children's endocrine,
genetic, and growth disorders. Guided by clinical diagnostic methods, local critical regions …
genetic, and growth disorders. Guided by clinical diagnostic methods, local critical regions …