Results 1 to 10 of about 11,569,533 (209)

Factors affecting prepubertal and pubertal bone age progression

Frontiers in Endocrinology, 2022
Bone age (BA) is a clinical marker of bone maturation which indicates the developmental stage of endochondral ossification at the epiphysis and the growth plate.
Mari Satoh, Yukihiro Hasegawa
doaj   +2 more sources

Automated bone age assessment in rare pediatric growth disorders: a comparative study using Deeplasia [PDF]

Frontiers in Endocrinology
ObjectiveBone age (BA) assessment is essential for monitoring growth and maturation and guiding therapeutic interventions. While deep learning (DL) models offer high-speed automated BA prediction, their generalizability to rare pathological and ...
Kyra Skaf, Minu Fardipour, Philipp Schmidt, Eike Bolmer, Alexandra Keller, Christina Lampe, Julian Jurgens, Mona Lindschau, Katja Palm, Sophie Ruckdeschel, Behnam Javanmardi, Klaus Mohnike   +11 more
doaj   +2 more sources

Association of obesity and adrenal androgen levels with bone age progression in boys with premature adrenarche [PDF]

Annals of Pediatric Endocrinology & Metabolism
Purpose Both premature adrenarche (PA) and obesity are closely linked to increases in bone age (BA). However, the mechanisms underlying these associations are unclear as research data, particularly in boys, are lacking.
Kyeongmi Lee, Jinjoo Choi, Yunsoo Choe, Seung Yang   +3 more
doaj   +2 more sources

Associations Between Bone Age, Body Composition and Physical Performance in Icelandic 12‐Year‐Old Female Soccer Players [PDF]

European Journal of Sport Science
Biological maturation significantly influences physical development and performance, with notable differences between sexes. Research using objective measures, such as bone age (BA) assessed with X‐ray to evaluate maturity and dual‐energy X‐ray ...
Runa Stefansdottir, Hilde Gundersen, Sigurdur Benediktsson, Mona Vestbøstad, Erlingur Johannsson, Vaka Rognvaldsdottir   +5 more
doaj   +2 more sources

Bone Age Assessment Empowered with Deep Learning: A Survey, Open Research Challenges and Future Directions

Diagnostics, 2020
Deep learning is a quite useful and proliferating technique of machine learning. Various applications, such as medical images analysis, medical images processing, text understanding, and speech recognition, have been using deep learning, and it has been ...
Muhammad Waqas Nadeem, Hock Guan Goh, Abid Ali, Muzammil Hussain, Muhammad Adnan Khan, Vasaki a/p Ponnusamy   +5 more
doaj   +2 more sources

Objective Assessment of Bone Age in Orthodontics: A Scoping Review

Journal of Pharmacy and Bioallied Sciences
Estimation of skeletal maturation using radiographs is often used in clinical orthodontics as it is one the crucial factors in achieving a successful treatment outcome.
Prachi Gaonkar, Ajay Kubavat, Shailesh Shenava, Puneet Batra, Chinmaya Hawaldar, Abhay Paul   +5 more
doaj   +2 more sources

Automatic Bone Age Determination in Adult Height Prediction for Girls with Early Variants Puberty and Precocious Puberty [PDF]

JCRPE
Objective: In cases of precocious puberty, the determination of bone age (BA) is usually performed by clinicians using the Greulich-Pyle (GP) atlas, and there can be significant variation between assessors.
Murat Hüseyin Yiğit, Elif Eviz, Şükrü Hatun, Gül Yeşiltepe Mutlu   +3 more
doaj   +2 more sources

Bone age assessment based on deep neural networks with annotation-free cascaded critical bone region extraction

Frontiers in Artificial Intelligence, 2023
Bone age assessment (BAA) from hand radiographs is crucial for diagnosing endocrinology disorders in adolescents and supplying therapeutic investigation. In practice, due to the conventional clinical assessment being a subjective estimation, the accuracy
Zhangyong Li, Wang Chen, Yang Ju, Yong Chen, Zhengjun Hou, Xinwei Li, Yuhao Jiang   +6 more
semanticscholar   +1 more source

Bone Age Estimation and Prediction of Final Adult Height Using Deep Learning

Yonsei medical journal, 2023
Purpose The appropriate evaluation of height and accurate estimation of bone age are crucial for proper assessment of the growth status of a child. We developed a bone age estimation program using a deep learning algorithm and established a model to ...
Junghwan Suh, Jinkyoung Heo, Su Jin Kim, Soyeong Park, M. Jung, H. Choi, Youngha Choi, J. Oh, H. I. Lee, M. Lee, Kyungchul Song, A. Kwon, H. Chae, Ho-Seong Kim   +13 more
semanticscholar   +1 more source

Bone Age

Encyclopedic Dictionary of Archaeology, 2021
J. Duffus, Michael Schwenk, Douglas M. Templeton   +2 more
semanticscholar   +2 more sources