Magnetic resonance radiomics for prediction of extraprostatic extension in non-favorable intermediate- and high-risk prostate cancer patients
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DOI: 10.1177/0284185120905066
Abstract: Background To investigate whether magnetic resonance (MR) radiomic features combined with machine learning may aid in predicting extraprostatic extension (EPE) in high- and non-favorable intermediate-risk patients with prostate cancer. Purpose To investigate the diagnostic performance… read more here.
Keywords: non favorable; risk; radiology; favorable intermediate ... See more keywords