Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy

SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.

Medical image processing in Python

Multi-lingual medical image registration library

LiTS - Liver Tumor Segmentation Challenge

Python script to extract a STL surface from a DICOM image series.

This Repo Will contain the Preprocessing Code for 3D Medical Imaging

Code examples of the free course in Youtube of brain MRI preprocessing techniques in python

BrkRaw: A comprehensive tool to access raw Bruker Biospin MRI data

There are some examples of 3D Medical Image Process

Image processing tools for radiomics analysis

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

evalutils helps users create extensions for grand-challenge.org

Lung Nodules Segmentation from CT scans using CNN.

Implementation of various label fusion approaches for medical imaging.

ipython notebooks for learning how to use SimpleITK

HVSMR 2016: MICCAI Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease

Playing with SimpleITK and nnU-Net to process data from the CHAOS challenge on Google Colab.

SimpleITK tools for use at the command line

Use Bspline in simpleITK to transform images and show the deformation flow