Results 21 to 30 of about 10,510,730 (248)

Carpal-bone feature extraction analysis in skeletal age assessment based on deformable model [PDF]

Journal of Computer Science and Technology, 2004
Skeletal age assessment is one of the important applications of hand radiography in the area of pediatric radiology. Features analysis of the carpal bones can reveal the important information for skeletal age assessment.
Lin Pan, Feng Zhang, Yong Yang, Chong-Xun Zheng   +3 more
doaj   +1 more source

Automated Bone Age Assessment Using Artificial Intelligence: The Future of Bone Age Assessment

Korean Journal of Radiology, 2021
Bone age assessments are a complicated and lengthy process, which are prone to inter- and intra-observer variabilities. Despite the great demand for fully automated systems, developing an accurate and robust bone age assessment solution has remained challenging. The rapidly evolving deep learning technology has shown promising results in automated bone
Byoung-Dai Lee, Mu Sook Lee
openaire   +3 more sources

Bone Age Assessment

International Journal of Biomedical and Clinical Engineering, 2013
Bone age assessment defined as the measure of skeletal development is most often used in pediatrics and forensics to estimate the true age of a person. It is usually done by comparing the left hand X-ray of a person with the hand radiographs in the standard atlas or based on local regions of interests (ROI) that include epiphyseal regions of the ...
S. Kavya, Pavithra Pugalendi, Rose Martina P. A., N. Sriraam, K. S. Babu, Basavaraj Hiremath   +5 more
openaire   +2 more sources

Bone age assessment methods: A critical review [PDF]

Pakistan Journal of Medical Sciences, 2013
The bone age of a child indicates his/her level of biological and structural maturity better than the chronological age calculated from the date of birth. Radiography of the hand & wrist is the commonest modality used to calculate bone age. Automated methods for evaluation of hand and wrist radiographs are also being developed which reduce inter ...
Manzoor Mughal, Arsalan, Hassan, Nuzhat, Ahmed, Anwar   +2 more
openaire   +2 more sources

Age-stratified bone mineral density and fracture risk assessment score status.

, 2023
Age-stratified bone mineral density and fracture risk assessment score status.
Nipith Charoenngam (6420326), Dueanchonnee Sribenjalak (14564132), Chatlert Pongchaiyakul (5465432), Piyachat Chanidkul (14564129)   +3 more
core   +1 more source

Applying Convolutional Neural Network in Automatic Assessment of Bone Age Using Multi-Stage and Cross-Category Strategy

Applied Sciences, 2022
Bone age is a common indicator of children’s growth. However, traditional bone age assessment methods usually take a long time and are jeopardized by human error.
Ching-Tung Peng, Yung-Kuan Chan, Yeong-Seng Yuh, Shyr-Shen Yu   +3 more
doaj   +1 more source

Bone modification and the conceptual relationship between humans and animals in Iron Age Wessex [PDF]

, 2010
archaeological records. As a result of the manner in which human and animal remains are traditionally studied and reported on, the analysis of taphonomic processes which affect the character of specimens between death and incorporation into forming ...
Madgwick, Richard
core   +6 more sources

Bone fractures after menopause [PDF]

, 2010
Every year 30% of individuals above age 65 fall, and falls are the principal cause of bone fractures. To reduce fracture incidence requires both prevention of falls and maintenance of bone strength.PubMed searches were performed, for studies of the ...
Ralston, Stuart H., J. L. Evers, Baird, D. T., A. Volpe, Ralston, S.H., Brandi, M.L., G. Benagiano, Brandi, Maria Luisa, S. H. Ralston, P.G. Crosignani, P. Bouchard, Rizzoli, R., ESHRE Capri Workshop Grp, Barlow, David H., La Vecchia, C., Negri, E., M. L. Brandi, P. G. Crosignani, Rizzoli, Rene, Benagiano, G., S. E. Papapoulos, Evers, J.L.H., D. H. Barlow, J. Collins, C. La Vecchia, Baird, D.T., Negri, Eva, Crosignani, P. G., Papapoulos, Socrates E., Glasier, A., R. Rizzoli, Barlow, D.H., A. Glasier, Vecchia, C. la, Collins, J., D. T. Baird, Volpe, A., Bouchard, P., Crosignani, P.G., Bouchard, Philippe, ?, ?, Papapoulos, S.E., E. Negri, Evers, J. L. H., ESHRE Capri Workshop Group., La Vecchia C, Glasier A, Brandi ML, Crosignani PG, Barlow DH, Rizzoli R, Bouchard P, Benagiano G, Volpe A, Evers JLH, Negri E, Ralston SH, Papapoulos SE, Baird DT, Collins J   +59 more
core   +1 more source

A Global-Local Feature Fusion Convolutional Neural Network for Bone Age Assessment of Hand X-ray Images

Applied Sciences, 2022
Bone age assessment plays a critical role in the investigation of endocrine, genetic, and growth disorders in children. This process is usually conducted manually, with some drawbacks, such as reliance on the pediatrician’s experience and extensive labor,
Qinglei Hui, Chunlin Wang, Junwei Weng, Ming Chen, Dexing Kong   +4 more
doaj   +1 more source

Artificial neural networks in hard tissue engineering : another look at age-dependence of trabecular bone properties in osteoarthritis [PDF]

, 2014
Artificial Neural Network (ANN) model has been developed to correlate age of severely osteoarthritic male and female specimens with key mechanical and structural characteristics of their trabecular bone.
Natasha A Khovanova, Khovanova, N. A., Mallick, Kajal, Shaikhina, Torgyn, Torgyn Shaikhina, Kajal K Mallick   +5 more
core   +1 more source