itk
There are 2 repositories under itk topic.
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InsightSoftwareConsortium / ITK
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
Language:C++ 1338Slicer / SlicerGitSVNArchive
:warning: OBSOLETE | Multi-platform, free open source software for visualization and image computing.
Language:C++ 874SimpleITK / SimpleITK
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.
Language:SWIG 830commontk / CTK
A set of common support code for medical imaging, surgical navigation, and related purposes.
Language:C++ 792An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
Language:Python 571- Language:Jupyter Notebook 544
YuanhaoGong / CurvatureFilter
Curvature Filters are efficient solvers for Variational Models
Language:C++ 372- Language:Python 187
An ITK Python interface to elastix, a toolbox for rigid and nonrigid registration of images
Language:TypeScript 182High performance spatial analysis in a web browser, Node.js, and across programming languages and hardware architectures
Language:Python 178starviewer-medical / starviewer
Starviewer, a cross-platform open source medical imaging software
Language:C++ 128rg2 / xreg
Library and executables for modeling and registration applications in medical image analysis. Particular emphasis on intraoperative fluoroscopic (X-ray) navigation via 2D/3D registration.
Language:C++ 83A setup script to generate ITK Python Wheels
Language:CMake 61CBICA / Tutorials
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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KitwareMedical / ITKUltrasound
ITK module with classes particularly useful for ultrasound.
Language:C++ 50ITK-Based Implementation of Two-Projection 2D/3D Registration Method with an Application in Patient Setup for External Beam Radiotherapy
Language:C++ 47Template to be used as a starting point for creating a custom 3D Slicer application
Language:C++ 45antony-jr / insight
A Tcl/Tk Frontend for GDB. This is an AppImage(Portable Package) of insight for the sake of Jeff Duntemann's amazing book.
Language:Shell 42- osparc-iseg
ITISFoundation / osparc-iseg
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
Language:C++ 42 junqiangchen / MedicalImageProcessExample
There are some examples of 3D Medical Image Process
Language:Python 40- 3DCuratorLanguage:C++ 38
KitwareMedicalPublications / 2018-05-30-KRSCourseInBiomedicalImageAnalysisAndVisualization
Kitware Course in Biomedical Image Analysis and Visualization: ITK
Language:Jupyter Notebook 38An ITK module to compute 3D thickness
Language:C++ 35- Language:Python 32
Sources for the ITKSoftwareGuide.
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Montaging for microscopy imaging files
Language:C++ 24- mialsuperresolutiontoolkit
Medical-Image-Analysis-Laboratory / mialsuperresolutiontoolkit
The Medical Image Analysis Laboratory Super-Resolution ToolKit (MIALSRTK) consists of a set of C++ and Python processing and workflow tools necessary to perform motion-robust super-resolution fetal MRI reconstruction in the BIDS Apps framework.
Language:C++ 24 MedicalImageAnalysisTutorials / ImageRegistrationTutorial
This project is to help students and researchers to learn the theory of medical image registration in a simple and practical way. I will try to explain the math using simple language and python code. The tutorials are python notebook based that you can run directly in Google colab. Your correction, feedback, and support are more than welcome!
Language:Jupyter Notebook 24Fast, Texture Feature Maps from N-Dimensional Images
Language:C++ 22Ultrasound image formation, processing, and analysis. Interfaces built off the ITKUltrasound library.
Language:C++ 22DiffusionMRITool / dmritool
DMRITool is an open souce toolbox for reconstruction, processing and visualization of diffusion MRI data (DWI, tensor, ODF,EAP, fibers etc.).
Language:C++ 21Scraped, buildable version of the wiki examples
