Evaluation of the Reliability and the Performance of Magnetic Resonance Imaging Radiomics in the Presence of Randomly Generated Irrelevant Features for Prostate Cancer

Radiomics has the potential to aid prostate cancer (PC) diagnoses and prediction by analyzing and modeling quantitative features extracted from clinical imaging. However, its reliability has been a concern, possibly due to its high-dimensional nature. This study aims to quantitatively investigate th...

Full description

Bibliographic Details
Main Authors: Cindy Xue, Jing Yuan, Gladys G. Lo, Darren M. C. Poon, Winnie C. W. Chu
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Diagnostics
Subjects:
Online Access:https://www.mdpi.com/2075-4418/13/23/3580