Radiomic Survival Predictor (RaSPr)

RaSPr (Radiomic Survival Predictor) leverages advanced radiomic features extracted from MRI of brain tumor patients to generate a prognostic risk score called as RadScore. This score enables risk stratification, aiding in personalized treatment planning. By integrating radiomics-driven risk assessment into clinical workflows, RaSPr offers a non-invasive approach to guide therapeutic strategies.

Raw MRI to Survival Prediction

Process raw T1, T1ce, T2, and FLAIR images (NIfTI format) to predict survival outcomes.

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Segmented Tumor to Survival Prediction

Use T1ce pre-processed images and tumor segments for survival predictions.

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Radiomic Features to Survival Prediction

Directly process radiomic features (obtained using pyRadiomics) to obtain survival predictions.

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