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Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk

Prostatex_masks ⭐ 46

Lesion and prostate masks for the PROSTATEx training dataset, after a lesion-by-lesion quality check.

Easylearn_dev ⭐ 20

Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on top of scikit-learn, pytorch and other packages. Easylearn can assist doctors and researchers who have limited coding experience to easily realize machine learning, e.g., (MR/CT/PET/EEG)imaging-marker- or other biomarker-based disease diagnosis and prediction, treatment response prediction, disease subtyping, dimensional decoding for transdiagnostic psychiatri

Tridfusion ⭐ 13

TriDFusion (3DF) Medical Imaging Viewer

Dicomtoolboxmatlab ⭐ 12

Import, visualize, and extract image features from CT and RT Dose DICOM files in MATLAB.

Cancerous_cells_scans_processing ⭐ 7

Predict survival time from PET scans

Scikit Radiomics ⭐ 6

scikit-radiomics’s documentation!

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