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Development and validation of a meta-learning-based multi-modal deep learning algorithm for detection of peritoneal metastasis

Crossref DOI link: https://doi.org/10.1007/s11548-022-02698-w

Published Online: 2022-07-22

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

Authors

Zhang, Hangyu https://orcid.org/0000-0003-1325-3915
Zhu, Xudong https://orcid.org/0000-0003-3977-5893
Li, Bin https://orcid.org/0000-0002-5324-3554
Dai, Xiaomeng https://orcid.org/0000-0003-0673-1886
Bao, Xuanwen https://orcid.org/0000-0002-6232-3783
Fu, Qihan https://orcid.org/0000-0003-2967-1812
Tong, Zhou https://orcid.org/0000-0003-0572-9610
Liu, Lulu https://orcid.org/0000-0002-1762-8529
Zheng, Yi https://orcid.org/0000-0002-7066-2937
Zhao, Peng https://orcid.org/0000-0002-5479-899X
Ye, Luan https://orcid.org/0000-0002-1810-9085
Chen, Zhihong

Fang, Weijia https://orcid.org/0000-0001-9849-347X
Ruan, Lingxiang https://orcid.org/0000-0003-4171-6470
Jin, Xinyu
License Information

Text and Data Mining valid from 2022-07-22

Version of Record valid from 2022-07-22
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Article History

Received: 10 August 2021

Accepted: 5 June 2022

First Online: 22 July 2022

Declarations

:

: The authors declare that they have no competing interests.

: Not applicable.

: This study was approved by the ethics committee of the first affiliated hospital of Zhejiang university and informed consent was waived.