pydicom

Read, modify and write DICOM files with python code

A Python implementation of the DICOM networking protocol

best effort anonymization for medical images using python

Python client for DICOMweb RESTful services

A DICOM Database Application for Radiation Oncology

High-level DICOM abstractions for the Python programming language

contributions to the core pydicom base, including tutorials, extra plugins, etc.

Medical images I/O python package

Lightweight portable Dicom browser application

A Python framework for decoding JPEG images, with a focus on supporting pydicom

singularity and Docker containers to easily get started with common dicom tools

a Dockerized storage and send/receiver for dicom images, intended to easily work with pydicom/dicom-datasets

Convert DICOM-RT dose matrices to EQD2 via Python

RADTorch - Medical Imaging Machine Learning Framework built on top of PyTorch

Predict survival time from PET scans

Simple DICOM tag editor built with wxPython and pydicom

A J2K and JP2 plugin for pylibjpeg

Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.

Thanos' DICOM package

Dockerized nodes for dicom (under development)

A JPEG, JPEG-LS and JPEG XT plugin for pylibjpeg

Convert a PDF to an Encapsulated DICOM using pydicom

Python Snippets for plotting and saving, reading user input from keyboard, reading DICOM images, reading XML files.

This project performs a 3D reconstruction of a cylindrical asphalt mixture sample from a set images on a Dicom file format. The components of asphalt mixture will be identified through 3-phase segmentation. Additionally, a 3D model of the asphalt mixture reconstruction was developed. The project was implemented on the Python programming language using the open-source libraries Numpy, Scipy, Pydicom, Scikit-learn, Matplotlib and Mayavi. A simulation of the asphalt mixtures aging process is implemented using numerical methods on the mechanical, themical and chemical fields.

Code to automatically assemble highly-individualized phantoms from DICOM CT scans and RT STRUCT files

Fast DICOM RLE plugin for pylibjpeg

Python project as a proposal for the Kaggle competition OSIC Pulmonary Fibrosis Progression available at https://www.kaggle.com/c/osic-pulmonary-fibrosis-progression

calculates water equivalent area (Aw) and water equivalent circle diameter (Dw) for CT DICOM images, per AAPM 204 and AAPM 220 [Python3]

Computer Tomography simulation using radon transform.