Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods

Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods

Radiomics converts medical images into mineable data via a high-throughput extraction of quantitative features used for clinical decision support. However, these radiomic features are susceptible to variation across scanners, acquisition protocols, and reconstruction settings. Various investigations...

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Bibliographic Details
Main Authors: Shruti Atul Mali, Abdalla Ibrahim, Henry C. Woodruff, Vincent Andrearczyk, Henning Müller, Sergey Primakov, Zohaib Salahuddin, Avishek Chatterjee, Philippe Lambin
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Journal of Personalized Medicine
Subjects:
radiomics
harmonization
feature reproducibility
deep learning
medical imaging
Online Access:https://www.mdpi.com/2075-4426/11/9/842

Internet

https://www.mdpi.com/2075-4426/11/9/842

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