Automated bone age assessment from knee joint by integrating deep learning and MRI-based radiomics-Reference-Cited by-同舟云学术

Automated bone age assessment from knee joint by integrating deep learning and MRI-based radiomics

Published:2023-12-22 Issue: Volume: Page:
ISSN:0937-9827
Container-title:International Journal of Legal Medicine
language:en
Short-container-title:Int J Legal Med

Author:

Fan Fei,Liu Han,Dai Xinhua,Liu Guangfeng,Liu Junhong,Deng Xiaodong,Peng Zhao,Wang Chang,Zhang Kui,Chen Hu,Yin Chuangao,Zhan Mengjun,Deng Zhenhua^ORCID

Funder

Key Research and Development Program of Sichuan Province

Opening Project of Key Laboratory of Evidence Science (China University of Political Science and Law), Ministry of Education

Postdoctoral Research Project of Sichuan Province

Natural Science Foundation of Sichuan Province

Sichuan Province Science and Technology Support Program

Publisher

Springer Science and Business Media LLC

Subject

Pathology and Forensic Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00414-023-03148-1.pdf

Reference37 articles.

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2. Politzer CS, Bomar JD, Pehlivan HC, Gurusamy P, Edmonds EW, Pennock AT (2021) Creation and validation of a shorthand magnetic resonance imaging bone age assessment tool of the knee as an alternative skeletal maturity assessment. Am J Sports Med 49:2955–2959. https://doi.org/10.1177/03635465211032986

3. Ramsthaler F, Proschek P, Betz W, Verhoff MA (2009) How reliable are the risk estimates for X-ray examinations in forensic age estimations? A safety update. Int J Legal Med 123:199–204. https://doi.org/10.1007/s00414-009-0322-2

4. Hillewig E, Degroote J, Van der Paelt T et al (2013) Magnetic resonance imaging of the sternal extremity of the clavicle in forensic age estimation: towards more sound age estimates. Int J Legal Med 127:677–689. https://doi.org/10.1007/s00414-012-0798-z

5. Deng XD, Lu T, Liu GF et al (2022) Forensic age prediction and age classification for critical age thresholds via 3.0T magnetic resonance imaging of the knee in the Chinese Han population. Int J Legal Med 136:841–852. https://doi.org/10.1007/s00414-022-02797-y