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Validation of an established TW3 artificial intelligence bone age assessment system: a prospective, multicenter, confirmatory study. [PDF]
Liu Y+18 more
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RAGCN: Region Aggregation Graph Convolutional Network for Bone Age Assessment From X-Ray Images
IEEE Transactions on Instrumentation and Measurement, 2022Rapid 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
Radiology, 2022
Background Although deep learning (DL) models have demonstrated expert-level ability for pediatric bone age prediction, they have shown poor generalizability and bias in other use cases.
E. Beheshtian+4 more
semanticscholar +1 more source
Background Although deep learning (DL) models have demonstrated expert-level ability for pediatric bone age prediction, they have shown poor generalizability and bias in other use cases.
E. Beheshtian+4 more
semanticscholar +1 more source
Ridge regression neural network for pediatric bone age assessment
Multimedia tools and applications, 2021Bone 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
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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.
John A. Eisman+2 more
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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
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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
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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
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71 twin pairs, aged 8–12 yrs, have been investigated. Zygosity has been determined by eight blood group systems. 25 pairs/14 female, 11 male/were monozygous, 19 pairs/ 10 female, 9 male/were like-sexed dizygous, 27 pairs unlike-sexed. Bone age was measured by the Tanner-Whitehouse method. Twins as a group are not retarded in skeletal maturation at this
P. Cholnoky, D. Gagyi, S. Álmos
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