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The purpose of this project is to automate the radiomics workflow and find the best composition of features, settings and parameters that can be used in order to achieve the best performance. Performance can be measured with some specific metrics (like accuracy or AUC) after our AI model has been trained.
manos-mark/radiomics-features-extraction
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The purpose of this project is to automate the radiomics workflow and find the best composition of features, settings and parameters that can be used in order to achieve the best performance. Performance can be measured with some specific metrics (like accuracy or AUC) after our AI model has been trained.
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