One of these challenges is the lack of a standardized feature definition and calculation. However, until now, radiomic features are not used for clinical decision making as there is a lack of standardization in the majority of the steps in the radiomics pipeline. Radiomic features are used to build machine learning models which are e.g. These feature values, also named radiomic features, include besides second-order textural features, shape, first-order statistical, and intensity-histogram based features. įor this purpose, a large amount of imaging biomarkers is extracted from the tumor region and used for classification purposes.
In medical images, textural information extracted from tumor regions has shown to provide valuable information about prognosis, tumor staging, and treatment response. They can be used for object identification or the definition of region of interests (ROI) in e.g. RB is financially supported by the Netherlands Organisation for Health Research and Development and by the Dutch Cancer Society, POINTING project, grant 10034.Ĭompeting interests: The authors have declared that no competing interests exist.įeatures describing image texture contain valuable information about important image characteristics and are applied in multiple disciplines.
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: The data can be found on GitHub: /ellipfaehlerUMCG/RaCat.įunding: EP, JdJ, and RB are part of the research program STRaTeGy with project number 14929, which is (partly) financed by the Netherlands Organisation for Scientific Research (NWO). Received: OctoAccepted: JanuPublished: February 20, 2019Ĭopyright: © 2019 Pfaehler et al. PLoS ONE 14(2):Įditor: Yuanquan Wang, Beijing University of Technology, CHINA Citation: Pfaehler E, Zwanenburg A, de Jong JR, Boellaard R (2019) RaCaT: An open source and easy to use radiomics calculator tool.
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