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Published in 2020 at "European Radiology"
DOI: 10.1007/s00330-020-07064-5
Abstract: To analyze the performance of radiological assessment categories and quantitative computational analysis of apparent diffusion coefficient (ADC) maps using variant machine learning algorithms to differentiate clinically significant versus insignificant prostate cancer (PCa). Retrospectively, 73 patients…
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Keywords:
machine learning;
assessment categories;
analysis;
prostate cancer ... See more keywords