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The Accuracy and Radiomics Feature Effects of Multiple U-net-Based Automatic Segmentation Models for Transvaginal Ultrasound Images of Cervical Cancer

Crossref DOI link: https://doi.org/10.1007/s10278-022-00620-z

Published Online: 2022-03-30

Published Print: 2022-08

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

Authors

Jin, Juebin

Zhu, Haiyan

Teng, Yingyan

Ai, Yao

Xie, Congying

Jin, Xiance https://orcid.org/0000-0002-4117-5953
Funding

Funding for this research was provided by:

national nature and science foundation China (11675122)

Wenzhou Municipal Science and Technology Bureau (Y20190183)

Zhejiang Engineering Research Center of Intelligent Medicine (2016E10011)
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Text and Data Mining valid from 2022-03-30

Version of Record valid from 2022-03-30
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Article History

Received: 18 March 2021

Revised: 21 October 2021

Accepted: 11 March 2022

First Online: 30 March 2022

Declarations

:

: The Ethics Committee in Clinical Research (ECCR) of Wenzhou Medical University First Affiliated Hospital approved this study (ECCR#2019059).

: Due to the retrospective nature of the study, informed consent was waived.

: Not applicable.

: The authors declare no competing interests.

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