Enhancing the stability of CT radiomics across different volume of interest sizes using parametric feature maps: a phantom study

Enhancing the stability of CT radiomics across different volume of interest sizes using parametric feature maps: a phantom study

Abstract Background In radiomics studies, differences in the volume of interest (VOI) are often inevitable and may confound the extracted features. We aimed to correct this confounding effect of VOI variability by applying parametric maps with a fixed voxel size. Methods Ten scans of a cup filled wi...

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Bibliographic Details
Main Authors: Laura J. Jensen, Damon Kim, Thomas Elgeti, Ingo G. Steffen, Lars-Arne Schaafs, Bernd Hamm, Sebastian N. Nagel
Format: Article
Language:English
Published: SpringerOpen 2022-09-01
Series:European Radiology Experimental
Subjects:
Radiomics
Reproducibility of results
Texture analysis
Tomography (x-ray computed)
Online Access:https://doi.org/10.1186/s41747-022-00297-7

Internet

https://doi.org/10.1186/s41747-022-00297-7

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