Article
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...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- 8aea0317-2df2-5220-82c2-e77ccc6e9a6f
- DOI
- 10.21203/rs.3.rs-33336/v1
