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RAGCN: Region Aggregation Graph Convolutional Network for Bone Age Assessment From X-Ray Images

IEEE Transactions on Instrumentation and Measurement, 2022
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.
Xiang Li   +5 more
semanticscholar   +1 more source

A Robust Approach for Estimation of the Bone Age

Symposium on Intelligent Systems and Informatics, 2022
In children, endocrine and metabolic disorders are diagnosed using clinical practice by determining the age of skeletal bone. The North American Society of Radiology proposed the in-depth learning method proposed in this paper to assess bone age.
Hamzeh Ghorbani   +5 more
semanticscholar   +1 more source

Ridge regression neural network for pediatric bone age assessment

Multimedia tools and applications, 2021
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 to be accurately assessed in a bid to determine whether bone maturity is ...
Ibrahim Salim, A. Hamza
semanticscholar   +1 more source

Bone Aging

Clinical Orthopaedics and Related Research, 1982
Bone matrix of 28-month-old (senescent) rats, compared with 13-month-old rats, is strikingly deficient in the capacity to induce bone formation. Similarly, implants of senescent matrix into one-month-old, rapidly-growing rats (weanlings) produce more bone than in 13-month-old adult recipients, but not nearly enough to compensate for deficiency in the ...
G T, Syftestad, M R, Urist
openaire   +2 more sources

Automatic feature extraction in X-ray image based on deep learning approach for determination of bone age

Future generations computer systems, 2020
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 obtain a better identification effect by comparison with state-of-the-art ...
Xu Chen   +4 more
semanticscholar   +1 more source

Aging and Bone

2009
This chapter will provide a general overview of the aging process followed by the potential effect that aging may have in bone biology. Three important aspects will be considered: decreased number of osteoblasts, increasing adipogenesis and significant osteoblast/osteocytes apoptosis during the aging process in bone.
Gimble, Jeffrey M.   +3 more
openaire   +2 more sources

Aging and Bone Metabolism

Comprehensive Physiology, 2023
AbstractChanges in bone architecture and metabolism with aging increase the likelihood of osteoporosis and fracture. Age‐onset osteoporosis is multifactorial, with contributory extrinsic and intrinsic factors including certain medical problems, specific prescription drugs, estrogen loss, secondary hyperparathyroidism, microenvironmental and cellular ...
openaire   +2 more sources

Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph

IEEE journal of biomedical and health informatics, 2019
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 analyses are time-consuming, labor intensive, and often subject to inter ...
Xuhua Ren   +10 more
semanticscholar   +1 more source

Bone mass and ageing

Baillière's Clinical Rheumatology, 1993
Bone can be divided into two kinds of tissue, cortical and trabecular bone. The skeleton comprises approximately 80% cortical bone, mainly in peripheral bones, and 20% trabecular bone, mainly in the axial skeleton. Bone density increases with skeletal growth to a peak in late adolescence or early adulthood.
P, Sambrook, P, Kelly, J, Eisman
openaire   +2 more sources

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

Comput. Methods Programs Biomed., 2020
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 large, measurement takes a long time, and it is easily influenced by human ...
Yaxin Han, Guangbin Wang
semanticscholar   +1 more source

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