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

Autor: Guangbin Wang, Yaxin Han

Publikováno v: Computer methods and programs in biomedicine. 197

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 hu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::546f4e7fe690aec5230813ca592eb14e
https://pubmed.ncbi.nlm.nih.gov/32957059

Automated Bone Age Assessment with Image Registration Using Hand X-ray Images

Autor: Nuraisyah Hani Zulkifley, Mohd Asyraf Zulkifley, Siti Raihanah Abdani

Publikováno v: Applied Sciences
Volume 10
Issue 20
Applied Sciences, Vol 10, Iss 7233, p 7233 (2020)

One of the methods for identifying growth disorder is by assessing the skeletal bone age. A child with a healthy growth rate will have approximately the same chronological and bone ages. It is important to detect any growth disorder as early as possi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc30c404a9d039188b7a2ae603ded433

Leveraging bone age assessment via a novel joint decomposition teacher–student learning paradigm from X-ray images.

Autor: Sepahvand, Majid, Abdali-Mohammadi, Fardin, Meqdad, Maytham N.

Publikováno v: Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation; Dec2024, Vol. 12 Issue 1, p1-12, 12p

Inter-rater variability and repeatability in the assessment of the Tanner-Whitehouse classification of hand radiographs for the estimation of bone age.

Autor: Geng J; Department of Radiology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China., Zhang W; Department of Radiology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China., Ge Y; Department of Traumatology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China., Wang L; Department of Radiology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China., Huang P; Department of Radiology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China.; Department of Radiology, Beijing Anding Hospital Capital Medical University, Beijing, China., Liu Y; Department of Radiology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China., Shi J; Chinese Center for Disease Control and Prevention, National Institute of Nutrition and Health, Beijing, China., Zhou F; School of Medical Technology, Shaanxi University of Chinese Medicine, Xianyang City, Shaanxi Province, China., Ma K; Department of Radiology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China., Blake GM; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, UK., Xu G; Department of Athletic Training, Beijing Sport University, Beijing, China., Yan D; Department of Radiology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China. bmuyandong@126.com., Cheng X; Department of Radiology, Beijing Jishuitan Hospital Capital Medical University, Beijing, China. Xiao65@263.com.

Publikováno v: Skeletal radiology [Skeletal Radiol] 2024 Dec; Vol. 53 (12), pp. 2635-2642. Date of Electronic Publication: 2024 May 02.

CT-based radiomics can identify physiological modifications of bone structure related to subjects' age and sex.

Autor: Levi, Riccardo, Garoli, Federico, Battaglia, Massimiliano, Rizzo, Dario A. A., Mollura, Maximilliano, Savini, Giovanni, Riva, Marco, Tomei, Massimo, Ortolina, Alessandro, Fornari, Maurizio, Rohatgi, Saurabh, Angelotti, Giovanni, Savevski, Victor, Mazziotti, Gherardo, Barbieri, Riccardo, Grimaldi, Marco, Politi, Letterio S.

Publikováno v: La Radiologia Medica; Jun2023, Vol. 128 Issue 6, p744-754, 11p