Utility of radiomic zones for risk classification and clinical outcome predictions using supervised machine learning during simultaneous 11 C-choline PET/MRI acquisition in prostate cancer patients.
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DOI: 10.1002/mp.15064
Abstract: PURPOSE In most radiomic studies related to cancer research, the traditional tumor-centric view has predominated. In this retrospective study, we go beyond the single tumor region and investigate the utility of proposed radiomic zones for… read more here.
Keywords: radiomic zones; predictions using; machine learning; risk classification ... See more keywords