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MRI-based automated machine learning model for preoperative identification of variant histology in muscle-invasive bladder carcinoma

Crossref DOI link: https://doi.org/10.1007/s00330-023-10137-w

Published Online: 2023-09-02

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

Authors

Huang, Jingwen https://orcid.org/0000-0003-3141-3433
Chen, Guanxing

Liu, Haiqing

Jiang, Wei

Mai, Siyao

Zhang, Lingli

Zeng, Hong

Wu, Shaoxu

Chen, Calvin Yu-Chian https://orcid.org/0000-0001-9213-9832
Wu, Zhuo https://orcid.org/0000-0001-7753-9571
Funding

Funding for this research was provided by:

the National Natural Science Foundation of China (81671653)

the National Natural Science Foundation of China (82271950)

the National Natural Science Foundation of China (62176272)

Research and Development Program of Guangzhou Science and Technology Bureau (2023B01J1016)

Key-Area Research and Development Program of Guangdong Province (2020B1111100001)

China Medical University Hospital (DMR-112-085)
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Text and Data Mining valid from 2023-09-02

Version of Record valid from 2023-09-02
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Article History

Received: 31 March 2023

Revised: 16 July 2023

Accepted: 20 July 2023

First Online: 2 September 2023

Declarations

:

: The scientific guarantor of this publication is Dr. Zhuo Wu.

: The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

: No complex statistical methods were necessary for this paper.

: Written informed consent was waived by the institutional review board.

: Institutional review board approval was obtained.

: No study subjects or cohorts have been previously reported before.

: • retrospective• diagnostic or prognostic study• performed at one institution

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