A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.
Tools to help with the conversion of DICOM images, RT Structures, and dose to useful Python objects. Essentially DICOM to NumPy and SimpleITK Images
Self-describing HDF5 container for one medical imaging sample and all of its ground truth: multi-timepoint, multi-modal images with segmentation, detection, classification and registration annotations, provenance and integrity.
Python library for handling Radiation Therapy DICOM files.
Geometrically-correct, DICOM-native evaluation metrics for medical image segmentation in Python: Dice, IoU, HD95, ASSD, Normalized Surface Dice, per-lesion detection F1, with bootstrap confidence intervals and subgroup/fairness slicing.
Convert TomoTherapy Hi-Art patient archives to DICOM-RT (CT, RTSTRUCT, RTPLAN, RTDOSE) — desktop app + CLI
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