Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features
比较机器学习算法与多参数磁共振成像(MRI)在预测外周带临床显著性前列腺癌方面的性能,采用临床评估类别和放射组学特征。
期刊:European Radiology
影响因子:4.7
doi:10.1007/s00330-020-07064-5
Bernatz, Simon; Ackermann, Jörg; Mandel, Philipp; Kaltenbach, Benjamin; Zhdanovich, Yauheniya; Harter, Patrick N; Döring, Claudia; Hammerstingl, Renate; Bodelle, Boris; Smith, Kevin; Bucher, Andreas; Albrecht, Moritz; Rosbach, Nicolas; Basten, Lajos; Yel, Ibrahim; Wenzel, Mike; Bankov, Katrin; Koch, Ina; Chun, Felix K-H; Köllermann, Jens; Wild, Peter J; Vogl, Thomas J