Reply to a Letter to the Editor on Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review

Reply to a Letter to the Editor on Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review

Bibliographic Details
Main Authors:	Nikita Sushentsev, Tristan Barrett, Leonardo Rundo
Format:	Article
Language:	English
Published:	SpringerOpen 2024-02-01
Series:	Insights into Imaging
Subjects:	Artificial intelligence Machine learning Prostate cancer
Online Access:	https://doi.org/10.1186/s13244-023-01594-4

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