Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.
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Updated
Jan 7, 2026 - Python
Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.
Open source of Pyradiomics extension
A complete radiomics feature selection pipeline for binary classification tasks
Predict survival time from PET scans
Ontology-guided Radiomics Analysis Workflow (O-RAW)
This script reads DICOM files in a source directory or in a list of source directories and searches for the patients in the given patients' list creates a DICOM DataBase in the destination directory, copies the files, and creates a DicomDataBase.csv file and a summary.txt file.
Workflow for Optimal Radiomics Classification, WORC toolbox.
A comprehensive pipeline for the analysis of dynamic contrast-enhanced MRI (DCE-MRI) data from the MAMA-MIA public dataset. Includes biomarker extraction, pseudo-color map generation, and multicenter signal harmonization using ComBat. Developed for educational purposes at the Hellenic Mediterranean University by Kalaitzakis Nikolaos.
Repository for CoRa, a CLI which can extract radiomics from COVID-19 CT scans.
Streamline radiomics feature selection for binary classification using statistical tests and mRMR to reduce dimensions and improve model reliability
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