imaging
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Python Examples for Remote Sensing
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Feb 20, 2018 - Jupyter Notebook
Interactive Jupyter widgets to visualize images, point sets, and meshes in 2D and 3D
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Sep 29, 2020 - Python
tracking medical datasets, with a focus on medical imaging
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Sep 7, 2020
MagicScaler high-performance, high-quality image processing pipeline for .NET
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Jul 27, 2020 - C#
HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave
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Sep 25, 2020 - MATLAB
Operator Discretization Library https://odlgroup.github.io/odl/
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Sep 29, 2020 - Python
starfish: unified pipelines for image-based transcriptomics
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Sep 2, 2020 - Python
cell detection in calcium imaging recordings
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Sep 30, 2020 - Jupyter Notebook
Scientific analysis of nanoscale materials imaging data
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Sep 25, 2020 - Jupyter Notebook
dcmjs is a javascript cross-compile of dcmtk (dcmtk.org).
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Jun 6, 2019 - CMake
Tools and libraries that deal with the creation and processing of images.
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Jun 6, 2019 - Java
Add a PolyDataIO based on the VTK::IOPDALmodule:
https://github.com/Kitware/VTK/tree/master/IO/PDAL
Steps (a complete example can be found here):
- Verify that the test suite runs and passes
A Julia project demonstrating the fast f-k migration algorithm.
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Feb 8, 2020 - Julia
A Slicer extension to provide a GUI around pyradiomics
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Sep 30, 2020 - Python
Automated 3D cell detection and registration of whole-brain images
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Sep 28, 2020 - Python
Currently, we are having readthedocs.org build the documentation for each PR and, if there are any warnings, the build fails immediately. This is a good thing, because it ensures that every PR is generating good documentation, including running the examples.
As discussed in #271, it would be nice to be able to see all of the warnings for the doc build instead of failing on the first one. B
Collection of tools and scripts useful to automate microscopy workflows in ZEN Blue using Python and Open Application Development tools.
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Sep 24, 2020 - Jupyter Notebook
Create 3d rooms in blender from floorplans.
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Aug 17, 2020 - Python
Convolutional AutoEncoder application on MRI images
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Oct 25, 2017 - Python
.NET library for working with the Extensible Metadata Platform (XMP)
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Jun 6, 2019 - C#
Provisioning Workflows for a Post-Imaging World
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Aug 1, 2018 - Shell
BIDScoin converts your source-level neuroimaging data to BIDS
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Sep 28, 2020 - Python
Image analysis tools based on Colour and Vispy
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Jan 22, 2020 - Python
mirror of https://git.elphel.com/Elphel/x393
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Aug 24, 2020 - Verilog
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There are all sorts of odd or even non-conformant DICOMs out in the world.
When we encounter parser failures on a DICOM (for both the current and the in progress rewrite), it would be good to be able to toggle a debug mode flag that can help us better dig into parsing failures and provide helpful information. Ideally if this information is not PHI (e.g. just DICOM tags, other general info), it