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For: Singh D, Kumar V, Das CJ, Singh A, Mehndiratta A. Machine learning-based analysis of a semi-automated PI-RADS v2.1 scoring for prostate cancer. Front Oncol 2022;12:961985. [PMID: 36505875 PMCID: PMC9730331 DOI: 10.3389/fonc.2022.961985] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 10/27/2022] [Indexed: 11/27/2022]  Open
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Chong JJR. Editorial for "Development and Validation of Interpretable Machine Learning Models for Clinically Significant Prostate Cancer Diagnosis in Patients With Lesions of PI-RADS v2.1 Score ≥3". J Magn Reson Imaging 2024;60:2142-2143. [PMID: 38420669 DOI: 10.1002/jmri.29277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 01/22/2024] [Indexed: 03/02/2024]  Open
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