Improvement of PI-RADS-dependent prostate cancer classification by quantitative image assessment using radiomics or mean ADC
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Background Currently, interpretation of prostate MRI is performed qualitatively. Quantitative assessment of the mean apparent diffusion coefficient (mADC) is promising to improve diagnostic accuracy while radiomic machine learning (RML) allows to probe complex... ...
