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Open-radiomics: A Research Protocol to Make Radiomics-based Machine Learning Pipelines Reproducible [article]

Ernest Namdar, Matthias W. Wagner, Birgit B. Ertl-Wagner, Farzad Khalvati
2022 arXiv   pre-print
To make radiomics research more accessible and reproducible, we provide guidelines for building machine learning (ML) models on radiomics data, introduce Open-radiomics, an evolving collection of open-source  ...  In this work, we introduce open-radiomics, a set of radiomics datasets, and a comprehensive radiomics pipeline that investigates the effects of radiomics feature extraction settings such as binWidth and  ...  Conclusion In this research, we proposed a research protocol for radiomics-based ML pipelines to improve their reproducibility.  ... 
arXiv:2207.14776v1 fatcat:n4ake6vx4rf3nmlndah7syovgy