Investigation of a potential upstream harmonization based on image appearance matching to improve radiomics features robustness: a phantom study
Camilla Scapicchio,
Manuela Imbriani,
Francesca Lizzi
et al.
Abstract:Objective: Radiomics is a promising valuable analysis tool consisting in extracting quantitative information from medical images. However, the extracted radiomics features are too sensitive to variations in used image acquisition and reconstruction parameters. This limited robustness hinders the generalizable validity of radiomics-assisted models. Our aim is to investigate a possible harmonization strategy based on matching image quality to improve feature robustness.
Approach: We acquired CT scans of … Show more
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