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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”
被引：0
作者：
Alessandro Bevilacqua
Margherita Mottola
机构：
[1] University of Bologna,Department of Computer Science and Engineering (DISI)
[2] University of Bologna,Advanced Research Center On Electronics Systems (ARCES)
[3] University of Bologna,Department of Medical and Surgical Sciences (DIMEC)
来源：
Insights into Imaging
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14卷
关键词：
Artificial intelligence;
Machine learning;
Prostate cancer;
D O I：
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