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Expansive Receptive Field and Local Feature Extraction Network: Advancing Multiscale Feature Fusion for Breast Fibroadenoma Segmentation in Sonography

Crossref DOI link: https://doi.org/10.1007/s10278-024-01142-6

Published Online: 2024-05-31

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

Authors

Guo, Yongxin

Zhou, Yufeng https://orcid.org/0000-0003-4086-2150
Funding

Funding for this research was provided by:

Chongqing Medical University (2022-W0063)
License Information

Text and Data Mining valid from 2024-05-31

Version of Record valid from 2024-05-31
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Article History

Received: 2 January 2024

Revised: 8 March 2024

Accepted: 26 March 2024

First Online: 31 May 2024

Declarations

:

: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

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

: Patients signed informed consent regarding publishing their data and photographs.

: The authors declare no competing interests.

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