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This dataset was used by the NCI's Quantitative Imaging Network (QIN) PET-CT Subgroup for their project titled: Multi-center Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Datasets. The purpose of this project was to assess the agreement among radiomic features when computed by several groups by using different software packages under very tightly controlled conditions, which included common image data sets and standardized feature definitions. The image datasets (and Volumes of Interest – VOIs) provided here are the same ones used in that project and reported in the publication listed below. In addition, we have provided the individual feature value results for each image dataset and each software package that was used to create the summary tables (Tables 2, 3 and 4) in that publication. For that project, nine common quantitative imaging features were selected for comparison including features that describe morphology, intensity, shape, and texture and that are described in detail in the International Biomarker Standardization Initiative (IBSI, https://arxiv.org/abs/1612.07003).
Acknowledgements
The authors gratefully acknowledge the following sources of support:
David Geffen School of Medicine at UCLA, Los Angeles, California, USA and Stanford University School of Medicine, Stanford, CA, USA. Special thanks to Michael McNitt-Gray, PhD from UCLA Department of Radiological Sciences and Sandy Napel, PhD from the Stanford Department of Radiology.
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Acknowledgements
The authors gratefully acknowledge the following sources of support:
David Geffen School of Medicine at UCLA, Los Angeles, California, USA and Stanford University School of Medicine, Stanford, CA, USA. Special thanks to Michael McNitt-Gray, PhD from UCLA Department of Radiological Sciences and Sandy Napel, PhD from the Stanford Department of Radiology.
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