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Bone Age Assessment Using Artificial Intelligence in Korean Pediatric Population: A Comparison of Deep-Learning Models Trained With Healthy Chronological and Greulich-Pyle Ages as Labels

Korean Journal of Radiology, 2023
Objective To develop a deep-learning-based bone age prediction model optimized for Korean children and adolescents and evaluate its feasibility by comparing it with a Greulich-Pyle-based deep-learning model.
Pyeong Hwa Kim   +14 more
semanticscholar   +1 more source

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

Generalizability and Bias in a Deep Learning Pediatric Bone Age Prediction Model Using Hand Radiographs.

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

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

Bone Age

open access: yesEncyclopedic Dictionary of Archaeology, 2021
J. Duffus   +2 more
openaire   +2 more sources

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

SIMBA: Specific Identity Markers for Bone Age Assessment

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020
Bone Age Assessment (BAA) is a task performed by radiologists to diagnose abnormal growth in a child. In manual approaches, radiologists take into account different identity markers when calculating bone age, i.e., chronological age and gender.
Cristina Gonz'alez   +5 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

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