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A multi-scanner study of MRI radiomics in uterine cervical cancer: prediction of in-field tumor control after definitive radiotherapy based on a machine learning method including peritumoral regions

Crossref DOI link: https://doi.org/10.1007/s11604-019-00917-0

Published Online: 2020-01-06

Published Print: 2020-03

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

Authors

Takada, Akiyo

Yokota, Hajime https://orcid.org/0000-0003-2389-0299
Watanabe Nemoto, Miho

Horikoshi, Takuro

Matsushima, Jun

Uno, Takashi
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Text and Data Mining valid from 2020-01-06

Version of Record valid from 2020-01-06
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Article History

Received: 3 July 2019

Accepted: 24 December 2019

First Online: 6 January 2020

Compliance with ethical standards

:

: The authors declare that they have no conflict of interest.

: This study was approved by the local ethics review board and subjects’ informed consent were obtained.

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