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A risk model for detecting clinically significant prostate cancer based on bi-parametric magnetic resonance imaging in a Japanese cohort

Published Online: 2021-09-22

Authors

Sakaguchi, Kazushige

Hayashida, Michikata

Tanaka, Naoto

Oka, Suguru

Urakami, Shinji
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Text and Data Mining valid from 2021-09-22

Version of Record valid from 2021-09-22
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Article History

Received: 8 May 2021

Accepted: 6 September 2021

First Online: 22 September 2021

Competing interests

: The authors declare no competing interests.

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