All Projects → Cardiac-MR-Group-Lund → Segment Open

Cardiac-MR-Group-Lund / Segment Open

Licence: other
Segment Source Distribution

Programming Languages

matlab
3953 projects

Projects that are alternatives of or similar to Segment Open

Pyimsegm
Image segmentation - general superpixel segmentation & center detection & region growing
Stars: ✭ 213 (+526.47%)
Mutual labels:  image-processing, image-analysis, medical-imaging
Slicergitsvnarchive
Multi-platform, free open source software for visualization and image computing.
Stars: ✭ 896 (+2535.29%)
Mutual labels:  segmentation, image-processing, medical-imaging
Open Solution Data Science Bowl 2018
Open solution to the Data Science Bowl 2018
Stars: ✭ 159 (+367.65%)
Mutual labels:  segmentation, image-processing, medical-imaging
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.
Stars: ✭ 458 (+1247.06%)
Mutual labels:  segmentation, image-processing, image-analysis
Extensionsindex
Slicer extensions index
Stars: ✭ 36 (+5.88%)
Mutual labels:  segmentation, image-processing, medical-imaging
coursera-ai-for-medicine-specialization
Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai
Stars: ✭ 80 (+135.29%)
Mutual labels:  medical, medical-imaging, segmentation
Slicer
Multi-platform, free open source software for visualization and image computing.
Stars: ✭ 263 (+673.53%)
Mutual labels:  segmentation, image-processing, medical-imaging
React Native Make
A collection of everyday React Native CLI tools
Stars: ✭ 606 (+1682.35%)
Mutual labels:  plugin, plugins
All About The Gan
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
Stars: ✭ 630 (+1752.94%)
Mutual labels:  segmentation, medical-imaging
Fo Dicom
Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity
Stars: ✭ 674 (+1882.35%)
Mutual labels:  medical-imaging, medical
Sota Medseg
SOTA medical image segmentation methods based on various challenges
Stars: ✭ 677 (+1891.18%)
Mutual labels:  segmentation, medical
Torchio
Medical image preprocessing and augmentation toolkit for deep learning
Stars: ✭ 708 (+1982.35%)
Mutual labels:  segmentation, medical-imaging
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.
Stars: ✭ 801 (+2255.88%)
Mutual labels:  image-analysis, medical-imaging
Medicalzoopytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Stars: ✭ 546 (+1505.88%)
Mutual labels:  segmentation, medical-imaging
Dicom
⚡High Performance DICOM Medical Image Parser in Go.
Stars: ✭ 643 (+1791.18%)
Mutual labels:  medical-imaging, medical
Caer
High-performance Vision library in Python. Scale your research, not boilerplate.
Stars: ✭ 452 (+1229.41%)
Mutual labels:  segmentation, image-processing
Dipy
DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
Stars: ✭ 417 (+1126.47%)
Mutual labels:  segmentation, medical-imaging
Itksoftwareguide
Sources for the ITKSoftwareGuide.
Stars: ✭ 19 (-44.12%)
Mutual labels:  segmentation, image-analysis
Mousemorph
Tools for MRI mouse brain morphometry
Stars: ✭ 19 (-44.12%)
Mutual labels:  image-processing, medical-imaging
Medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
Stars: ✭ 917 (+2597.06%)
Mutual labels:  segmentation, medical-imaging

segment-open -- Segment source distribution

lvimage

newsletter

What is Segment?

Segment is a comprehensive software package for medical image analysis, widely used in research.

Segment is developed with cardiovascular MRI (CMR) in mind, but it has also been validated using Cardiac CT and Myocardial Perfusion SPECT. The software package can also be used for a wide range of Radiology and Cardiology applications.

What is the Segment Source Distribution?

The Segment source code is regularly exported from Medviso for free use by the academic research community, through the collaboration between Medviso AB and the Cardiac MR Group at Lund University, Sweden. This forms the basis for segment-open, the Segment Source Distribution, which can be found in this repository.

Note that not all functionality in Segment is present in the Source Distribution, and the Source Distribution is neither FDA-approved nor CE-marked, and may not be used for clinical purposes. Some parts of the code is protected (Matlab p-files).

How do I use Segment?

It is strongly recommended to use Matlab R2014a.

  • Performance of the GUI will be reduced with newer versions, as a new GUI framework was introduced in R2014b.
  • Using older versions may produce bugs due to non-existent functionality.
  • You can have several Matlab installations on the same computer at the same time.

r2014a

Contributions

We'd love to include your plugins in this repository! Please see the Contributions Document for details, as well as the License and Terms of use below.

Found a bug? Do you have a feature request? Please let us know by opening an issue in the tracker!

License and Terms of use

We recommend that you read the full license agreement before starting to use Segment. This section is just a short summary.

Segment is freely available for academic research in source and binary form, provided that you cite relevant publications and the usage of the software in your publications (see specific papers below).

The Segment Source Distribution may not be used for commercial or clinical applications. The commercial, FDA-approved and CE-marked version of Segment is developed, marketed and sold by Medviso AB, Lund, Sweden.

We are happy to accept contributions to this source tree if you want to share your work with the world. Write your code as a Segment plugin and submit your work as a pull request when you feel ready. Please see the Contributions Document for details.

What IS allowed?

Provided that you give proper attribution (see "Papers to cite" below), you can:

  • Use Segment for academic research
  • Publish results based on Segment
  • Write your own plugins
  • Share your plugins with others using the Segment source distribution

What IS NOT allowed?

  • Clinical use
  • Commercial use
  • Distributing your own compiled version of Segment
  • For any of these cases, please contact Helen Fransson (CEO, Medviso AB, see contact info below)

Papers to cite

According to the license agreement, proper citation of required when you publish research based on Segment. A complete list is kept at the Medviso homepage: http://medviso.com/research/how-to-refer/

Frequently asked questions

Q: What is the airspeed velocity of an unladen swallow?

A: African or European?

Contact

Who Role
Johannes Töger Segment-open maintainer, Questions on distribution, Contributions, pull requests
Einar Heiberg Segment creator, Medviso founder, Research collaborations with the Cardiac MR Group in Lund
Helen Fransson Medviso CEO, Clinical and commercial use of Segment
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].