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Methodological quality of machine learning-based quantitative imaging analysis studies in esophageal cancer: a systematic review of clinical outcome prediction after concurrent chemoradiotherapy

Crossref DOI link: https://doi.org/10.1007/s00259-021-05658-9

Published Online: 2021-12-23

Published Print: 2022-07

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

Authors

Shi, Zhenwei https://orcid.org/0000-0003-1305-5935
Zhang, Zhen https://orcid.org/0000-0001-6335-9529
Liu, Zaiyi

Zhao, Lujun

Ye, Zhaoxiang

Dekker, Andre

Wee, Leonard
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (81925023)

National Natural Science Foundation of China (81771912)

National Natural Science Foundation of China (82102034)

Nederlandse Organisatie voor Wetenschappelijk Onderzoek (14930)

Nederlandse Organisatie voor Wetenschappelijk Onderzoek (629.002.205)

Nederlandse Organisatie voor Wetenschappelijk Onderzoek (629.002.212)
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Text and Data Mining valid from 2021-12-23

Version of Record valid from 2021-12-23
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Article History

Received: 2 September 2021

Accepted: 12 December 2021

First Online: 23 December 2021

Declarations

:

: This article does not contain any studies with human participants or animals performed by any of the authors.

: The authors declare no competing interests.

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