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- = Data = [[Category:TubeTK Events and Meetings|2010.12.09]]434 bytes (78 words) - 18:51, 26 July 2013
- |+ [[image:TubeTK_Header.jpg|1000px|TubeTK]] '''[[TubeTK|Home]]'''6 KB (840 words) - 12:31, 9 May 2016
- Description: Center phantom data (e.g., image, label map) with respect Specifies that the input phantom data contains discrete labels.2 KB (203 words) - 18:55, 7 January 2015
- * Primary goal: Data from Duke for BWH ** Determine what is necessary to record data sent to OpenIGTLink from VectorVision system4 KB (459 words) - 18:45, 26 July 2013
- ** tests on smaller images = smaller data to be distributed + faster tests [[Category:TubeTK Events and Meetings|2010.11.16]]774 bytes (102 words) - 18:50, 26 July 2013
- There are two ways of building TubeTK: ...ocessing data using the command-line or scripts, it is sufficient to build TubeTK as a (Option 2) Stand-Alone Build.10 KB (1,548 words) - 12:11, 1 November 2016
- ** tubetk/CMake/DashboardScripts tubetk/CMake/CTestCustom... ** Retinal data5 KB (626 words) - 18:45, 26 July 2013
- *[[FRAT/Data | Data and Publications]] ...ete install of TubeTK. For build instructions, go [http://www.vtk.org/Wiki/TubeTK/Development/Build here]. For FFTW installation instructions, go [http://www3 KB (495 words) - 22:17, 11 August 2011
- * Primary goal: Data from Duke for BWH ** Determine what is necessary to record data sent to OpenIGTLink from VectorVision system2 KB (270 words) - 18:45, 26 July 2013
- ...tive PDF segmenter is to be used with 3D Slicer (see the [[TubeTK/Slicer | TubeTK with Slicer]] page for setup instructions). Its implementation can be found in TubeTK/Applications/SlicerModules/InteractivePDFSegmenter.py.6 KB (789 words) - 13:09, 6 January 2015
- Description: Renders ITK tube SpatialObject data structures into Acknowledgements: This work is part of the TubeTK project at Kitware.1 KB (158 words) - 18:43, 7 January 2015
- ** Extract organ border normals from input data [[Category:TubeTK Events and Meetings|2010.10.14]]1 KB (140 words) - 18:48, 26 July 2013
- ...<em>NeuralNav</em> toolkit that provides a common API for fetching tracker data and intra-operative images from commercial (VectorVision by BrainLAB) and r * [[TubeTK]]4 KB (487 words) - 18:38, 5 December 2012
- ...ware options on the probe can be manipulated, and both B-Mode and RF image data collected. ...native C++ scan conversion. Direct visualization is possible, or the image data can be streamed to OpenIGTLink-compatible devices such as 3D Slicer or 3D S2 KB (226 words) - 16:43, 10 November 2014
- There are two patient data sets. For each of them, there are datasets for 4 different modalities for b ...cans that are used to differentiate fat from water. The difference of this data set from T1 is that they show fat darker, and water lighter.5 KB (735 words) - 18:35, 26 July 2013
- ...ceive retrospectively acquired AVM patient data so we will be getting this data very soon. Ricardo will set up a private repository for the AVM data in our Midas server.5 KB (789 words) - 17:55, 15 September 2014
- * Dashboard: https://www.kitware.com/CDash/index.php?project=TubeTK * Wiki Documentation: http://public.kitware.com/Wiki/TubeTK4 KB (453 words) - 18:48, 26 July 2013
- Kitware can do multivariant classification. PDFSegmenter is available in TubeTK. This method is semiautomatic, multivariant, and multiclass (2 types of ede # Data: At least 4-5 channels (T1, T2, SWI, DTI, GRE) are available. They are good4 KB (583 words) - 18:53, 26 July 2013
- '''[[TubeTK|Home]]''' *[[TubeTK/About|About]]14 KB (1,949 words) - 22:01, 31 May 2017
- tracker data in InnerOptic's format to the format used by the Plus Acknowledgements: This work is part of the TubeTK project at Kitware.2 KB (293 words) - 18:31, 7 January 2015
