Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer Detection on Multiparametric MR Images - researchr publication authors

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Zhe Min, Fernando J. Bianco, Qianye Yang, Rachael Rodell, Wen Yan, Dean C. Barratt, Yipeng Hu. Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer Detection on Multiparametric MR Images. In Bartlomiej W. Papiez, Mohammad Yaqub, Jianbo Jiao, Ana I. L. Namburete, J. Alison Noble, editors, Medical Image Understanding and Analysis - 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12-14, 2021, Proceedings. Volume 12722 of Lecture Notes in Computer Science, pages 56-70, Springer, 2021. [doi]

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