Collinearity and Dimensionality Reduction in Radiomics: Effect of Preprocessing Parameters in Hypertrophic Cardiomyopathy Magnetic Resonance T1 and T2 Mapping

Collinearity and Dimensionality Reduction in Radiomics: Effect of Preprocessing Parameters in Hypertrophic Cardiomyopathy Magnetic Resonance T1 and T2 Mapping

Radiomics and artificial intelligence have the potential to become a valuable tool in clinical applications. Frequently, radiomic analyses through machine learning methods present issues caused by high dimensionality and multicollinearity, and redundant radiomic features are usually removed based on...

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Bibliographic Details
Main Authors: Chiara Marzi, Daniela Marfisi, Andrea Barucci, Jacopo Del Meglio, Alessio Lilli, Claudio Vignali, Mario Mascalchi, Giancarlo Casolo, Stefano Diciotti, Antonio Claudio Traino, Carlo Tessa, Marco Giannelli
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Bioengineering
Subjects:
radiomics
cardiac magnetic resonance imaging
T1 and T2 mapping
collinearity
dimensionality reduction
spatial resampling
Online Access:https://www.mdpi.com/2306-5354/10/1/80

Internet

https://www.mdpi.com/2306-5354/10/1/80

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