rtstruct

DICOM Viewer

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.

This repo allows conversion of DICOMs RTStruct data to numpy and rudimentary visualization.

Python library for handling Radiation Therapy DICOM files.

Read rtstruct set into matlab as binary mask

This project evaluates the precision and similarity of automated and manual radiological segmentations of brain metastases using RTStruct files. While not directly implementing RANO-BM criteria, it complements these criteria through computational metrics to assess segmentation accuracy in comparative studies

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

Part of the Radioterapia.AI Local Suite. ContourLab: several third-party AI segmentation models on the same exam, saved as unapproved RTSTRUCT suggestions — teaching and research material, not a medical device.

App handles GUI creation and image processing from DICOM files. Built using the PyQt5 library, it facilitates an interface with buttons and functions

This project demonstrates a basic workflow for processing DICOM (Digital Imaging and Communications in Medicine) medical images using the pydicom Python library.