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Prenatal prediction of neonatal respiratory morbidity: a radiomics method based on imbalanced few-shot fetal lung ultrasound images

Published Online: 2022-01-04

Published Print: 2022-12

Authors

Jiao, Jing

Du, Yanran

Li, Xiaokang

Guo, Yi https://orcid.org/0000-0002-7142-2871
Ren, Yunyun

Wang, Yuanyuan
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (61871135)

National Natural Science Foundation of China (81627804)

National Natural Science Foundation of China (81830058)

Science and Technology Commission of Shanghai Municipality (20DZ1100104)
License Information

Text and Data Mining valid from 2022-01-04

Version of Record valid from 2022-01-04
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Article History

Received: 3 June 2021

Accepted: 30 December 2021

First Online: 4 January 2022

Declarations

:

: This study was approved by the Ethics Committee of Obstetrics and Gynecology Hospital Affiliated to Fudan University, Shanghai, China (No. 2018-73). All participating women had provided written informed consent for use of the data. All methods were carried out in accordance with relevant guidelines and regulations.

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

: The authors declare that they have no competing interests.

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