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A concurrent, deep learning–based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists

Crossref DOI link: https://doi.org/10.1007/s00330-022-08978-y

Published Online: 2022-07-28

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

Authors

Labus, Sandra https://orcid.org/0000-0002-3725-1204
Altmann, Martin M.

Huisman, Henkjan

Tong, Angela

Penzkofer, Tobias

Choi, Moon Hyung

Shabunin, Ivan

Winkel, David J.

Xing, Pengyi

Szolar, Dieter H.

Shea, Steven M.

Grimm, Robert

von Busch, Heinrich

Kamen, Ali

Herold, Thomas

Baumann, Clemens
Funding

Funding for this research was provided by:

HELIOS Kliniken (Grand-ID:2020_0064)
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Article History

Received: 14 February 2022

Revised: 16 June 2022

Accepted: 21 June 2022

First Online: 28 July 2022

Declarations

:

: The scientific guarantor of this publication is Sandra Labus.

: Robert Grimm, Heinrich von Busch, and Ali Kamen declare relationships with the following companies: Siemens Healthineers and Siemens Healthcare. The other authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

: Dr. Ulrich Gauger kindly provided statistical advice for this manuscript.

: Written informed consent was waived by the Institutional Review Board.

: This study was approved by the Institutional Review Board (Eth-KB 08/20).

: • retrospective• diagnostic study• performed at one institution

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