Disptools
Generate displacement fields with known volume changes
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Slicer | 1,339 | 3 months ago | 578 | other | C++ | |||||
| Multi-platform, free open source software for visualization and image computing. | ||||||||||
| Slicergitsvnarchive | 883 | 4 years ago | 25 | other | C++ | |||||
| Multi-platform, free open source software for visualization and image computing. | ||||||||||
| Simpleitk | 801 |  | 216 | 281 | 3 months ago | 34 | November 06, 2023 | 44 | apache-2.0 | 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. | ||||||||||
| Medpy | 523 |  | 15 | 29 | 4 months ago | 6 | February 14, 2019 | 6 | gpl-3.0 | Python |
| Medical image processing in Python | ||||||||||
| Curvaturefilter | 261 | 5 years ago | 1 | C++ | ||||||
| Curvature Filters are efficient solvers for Variational Models | ||||||||||
| Itkpythonpackage | 59 | 6 months ago | 17 | apache-2.0 | CMake | |||||
| A setup script to generate ITK Python Wheels | ||||||||||
| Slicercustomapptemplate | 38 | 9 months ago | 7 | apache-2.0 | C++ | |||||
| Template to be used as a starting point for creating a custom 3D Slicer application | ||||||||||
| Osparc Iseg | 38 | a year ago | 5 | mit | C++ | |||||
| The Medical Image Segmentation Tool Set (iSEG) is a fully integrated segmentation (including pre- and postprocessing) toolbox for the efficient, fast, and flexible generation of anatomical models from various types of imaging data | ||||||||||
| Awesome Medical Imaging | 26 | 4 years ago | 1 | other | ||||||
| Awesome list of software that I use to do research in medical imaging. | ||||||||||
| Tutorials | 24 | 3 years ago | 1 | other | C++ | |||||
| Here, we will be showcasing our seminar series “CPP for Image Processing and Machine Learning” including presentations and code examples. There are image processing and machine learning libraries out there which use C++ as a base and have become industry standards (ITK for medical imaging, OpenCV for computer vision and machine learning, Eigen for linear algebra, Shogun for machine learning). The documentation provided with these packages, though extensive, assume a certain level of experience with C++. Our tutorials are intended for those people who have basic understanding of medical image processing and machine learning but who are just starting to get their toes wet with C++ (and possibly have prior experience with Python or MATLAB). Here we will be focusing on how someone with a good theoretical background in image processing and machine learning can quickly prototype algorithms using CPP and extend them to create meaningful software packages. | ||||||||||
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Python
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