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Recognition and Segmentation of Individual Bone Fragments with a Deep Learning Approach in CT Scans of Complex Intertrochanteric Fractures: A Retrospective Study

Crossref DOI link: https://doi.org/10.1007/s10278-022-00669-w

Published Online: 2022-06-16

Published Print: 2022-12

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

Authors

Yang, Lv

Gao, Shan

Li, Pengfei

Shi, Jiancheng

Zhou, Fang https://orcid.org/0000-0002-7775-069X
Funding

Funding for this research was provided by:

National Key Research and Development Program of China (2018YFF0301100)

National Natural Science Foundation of China (81702127)

Beijing Municipal Natural Science Foundation (7202222)

Peking University Medicine Seed Fund for Interdisciplinary Research (PKU2020LCXQ013)
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Text and Data Mining valid from 2022-06-16

Version of Record valid from 2022-06-16
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Article History

Received: 24 August 2021

Revised: 4 May 2022

Accepted: 7 June 2022

First Online: 16 June 2022

Declarations

:

: Institutional Review Board approval was obtained.

: Informed consent was obtained from all individual participants included in the study.

: The authors affirm that human research participants provided informed consent for publication of the images in Figure(s) 1, 2, 3,4 and 5.

: The authors of this manuscript declare relationships with the following companies: LinkDoc Technology.

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