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Discriminating malignant from benign testicular masses using machine-learning based radiomics signature of appearance diffusion coefficient maps: Comparing with conventional mean and minimum ADC values

Chanyuan Fan, Kailun Sun, Xiangde Min, Wei Cai, Wenzhi Lv, Xiaoling Ma, Yan Li, Chong Chen, Peijun Zhao, Jinhan Qiao, Jianyao Lu, Yihao Guo, Liming Xia

2022European Journal of Radiology21 citationsDOI

Topics & Concepts

MedicineReceiver operating characteristicRadiomicsEffective diffusion coefficientUnivariateConfidence intervalMann–Whitney U testRadiologyFeature selectionNuclear medicineWilcoxon signed-rank testArtificial intelligenceMagnetic resonance imagingStatisticsMathematicsMultivariate statisticsInternal medicineComputer scienceTesticular diseases and treatmentsSperm and Testicular FunctionRadiomics and Machine Learning in Medical Imaging
Discriminating malignant from benign testicular masses using machine-learning based radiomics signature of appearance diffusion coefficient maps: Comparing with conventional mean and minimum ADC values | Litcius