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Artificial intelligence on MRI for molecular subtyping of diffuse gliomas: feature comparison, visualization, and correlation between radiomics and deep learning

Crossref DOI link: https://doi.org/10.1007/s00330-021-08400-z

Published Online: 2021-11-26

Published Print: 2022-02

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

Authors

Zhou, Zijian https://orcid.org/0000-0001-8976-8507
Funding

Funding for this research was provided by:

Siemens Healthineers
License Information

Text and Data Mining valid from 2021-11-26

Version of Record valid from 2021-11-26
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Article History

Received: 1 September 2021

Revised: 28 September 2021

Accepted: 12 October 2021

First Online: 26 November 2021

Declarations

:

: The scientific guarantor of this publication is Zijian Zhou.

: Zijian Zhou is currently an instructor at the Department of Imaging Physics, The University of Texas MD Anderson Cancer Center. He is partially supported by a research grant from Siemens Healthineers.

: No complex statistical methods were necessary for this paper.

: Written informed consent was not required for this study because it is an editorial comment.

: Institutional review board approval was obtained. Institutional review board approval was not required because it is an editorial comment.

: • Editorial comment

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