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.
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Updated
Oct 2, 2024 - SWIG
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.
Sources for insightsoftwareconsortium.org website
Medical image processing in Python
Image processing tools for radiomics analysis
Python script to extract a STL surface from a DICOM image series.
evalutils helps users create extensions for grand-challenge.org
Wrap SimpleITK functions as command lines
Semantic segmentation and image-to-image translation based on AI
Playing with SimpleITK and nnU-Net to process data from the CHAOS challenge on Google Colab.
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
Medical Image Processing
Implementation of various label fusion approaches for medical imaging.
Multi-lingual medical image registration library
An python script for register image with SIFT algoritm and comparison them with difference and merge
Make some SPM Features With Python
Lung Nodules Segmentation from CT scans using CNN.
Streamlines the process of generating an optimal subset representing a multi-dimensional medical image and combining the subset to an animated sequence.
Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.
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