Multiparametric MRI for Prostate Cancer Characterization: Combined Use of Radiomics Model with PI-RADS and Clinical Parameters

Multiparametric MRI for Prostate Cancer Characterization: Combined Use of Radiomics Model with PI-RADS and Clinical Parameters

Radiomics is an emerging field of image analysis with potential applications in patient risk stratification. This study developed and evaluated machine learning models using quantitative radiomic features extracted from multiparametric magnetic resonance imaging (mpMRI) to detect and classify prosta...

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Bibliographic Details
Main Authors: Piotr Woźnicki, Niklas Westhoff, Thomas Huber, Philipp Riffel, Matthias F. Froelich, Eva Gresser, Jost von Hardenberg, Alexander Mühlberg, Maurice Stephan Michel, Stefan O. Schoenberg, Dominik Nörenberg
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Cancers
Subjects:
prostatic neoplasm
magnetic resonance imaging
radiomics
machine learning
artificial intelligence
PI-RADS
Online Access:https://www.mdpi.com/2072-6694/12/7/1767

Internet

https://www.mdpi.com/2072-6694/12/7/1767

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