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Automated opportunistic screening for osteoporosis using deep learning-based automatic segmentation and radiomics on proximal femur images from low-dose abdominal CT

Crossref DOI link: https://doi.org/10.1186/s12891-025-08631-x

Published Online: 2025-04-17

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Du, Changyu

He, Jian

Cheng, Qiye

Hu, Mengting

Zhang, Jingyi

Shen, Jiageng

Wang, Shigeng

Liu, Yijun

Li, Jianying

Wei, Wei
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Text and Data Mining valid from 2025-04-17

Version of Record valid from 2025-04-17
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Article History

Received: 21 January 2025

Accepted: 8 April 2025

First Online: 17 April 2025

Declarations

:

: The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the ethics committee/IRB of The First Affiliated Hospital of Dalian Medical University (no. PJ-KS-KY-2023-276) and individual informed consent to participate for this retrospective analysis was waived by the ethics committee/IRB of The First Affiliated Hospital of Dalian Medical University.

: Not applicable.

: The authors declare no competing interests.

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