# Predicting clinically significant prostate cancer from quantitative image features including compressed sensing radial MRI of prostate perfusion using machine learning: comparison with PI-RADS v2 assessment scores

> Research article (Quantitative Imaging in Medicine and Surgery, 2020) · cited 26× · AI/ML

**Wikidata**: [openalex:W3013420607](https://www.wikidata.org/wiki/openalex:W3013420607)  
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