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Cell quantification at the osteochondral interface from synchrotron radiation phase contrast micro-computed tomography images using a deep learning approach

Crossref DOI link: https://doi.org/10.1038/s41598-024-81333-x

Published Online: 2024-11-28

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

Authors

Xu, Hao

Olivier, Cecile

Sajidy, Hajar

Pallu, Stéphane

Portier, Hugues

Peyrin, Francoise

Chappard, Christine
Funding

Funding for this research was provided by:

LabEx PRIMES (ANR-11-LABX-0063, ANR-11-LABX-0063, ANR-11-LABX-0063, ANR-11-LABX-0063, ANR-11-LABX-0063, ANR-11-LABX-0063, ANR-11-LABX-0063)

China Postdoctoral Science Foundation (2023M732390)
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Text and Data Mining valid from 2024-11-28

Version of Record valid from 2024-11-28
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Article History

Received: 31 January 2024

Accepted: 26 November 2024

First Online: 28 November 2024

Declarations

:

: The authors declare no competing interests.

: All the participants are informed about the study, and they have all signed the informed consent form.

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