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Investigation of Robustness of Radiomics Features Generated With Grey Level Co-occurrence Matrix (GLCM) for Positron Emission Tomography (PET) Image Analysis

2020-06-08

Abstract excerpt

<h4>Background: </h4> Quantification of heterogeneous radiotracer uptake in PET has the potential to be used as a biomarker of prognosis. Textural features accounting for both spatial and intensity information have recently been applied to FDG-PET images and used to predict treatment response. However, textural features have been predicted to strongly depend on volume. Other factors affecting textural features suc...

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Literature Corpus work
8aea0317-2df2-5220-82c2-e77ccc6e9a6f
DOI
10.21203/rs.3.rs-33336/v1
Open publication

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Investigation of Robustness of Radiomics Features Generated With Grey Level Co-occurrence Matrix (GLCM) for Positron Emission Tomography (PET) Image AnalysisDOI 10.21203/rs.3.rs-33336/v1
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