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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Detalles Bibliográficos
Autores principales: Marzi, Chiara, Marfisi, Daniela, Barucci, Andrea, Del Meglio, Jacopo, Lilli, Alessio, Vignali, Claudio, Mascalchi, Mario, Casolo, Giancarlo, Diciotti, Stefano, Traino, Antonio Claudio, Tessa, Carlo, Giannelli, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854492/
https://www.ncbi.nlm.nih.gov/pubmed/36671652
http://dx.doi.org/10.3390/bioengineering10010080

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854492/
https://www.ncbi.nlm.nih.gov/pubmed/36671652
http://dx.doi.org/10.3390/bioengineering10010080

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