Difference between revisions of "2011 Winter Project Week:TubeTK VascularImageSegmentationAndAnalysis"
From NAMIC Wiki
(Created page with '__NOTOC__ <gallery> Image:PW-SLC2011.png|Projects List </gallery> ==Key Investigators== * Kitware: Stephen Aylward, Danielle Pace * SPL: St…') |
|||
| Line 12: | Line 12: | ||
<h3>Objective</h3> | <h3>Objective</h3> | ||
| − | + | [http://public.kitware.com/Wiki/TubeTK TubeTK] is a new open-source toolkit that hosts algorithms for applications involving images of tubes. By focusing on the geometry of tubes we can accomplish many of the grand challenges in medical image analysis for a wide range significant cases, e.g., disease detection, diagnosis, treatment guidance, and monitoring using vascular features. | |
</div> | </div> | ||
| Line 33: | Line 33: | ||
==Delivery Mechanism== | ==Delivery Mechanism== | ||
| − | + | All software written during the project week will be contributed to TubeTK for release to the community. | |
</div> | </div> | ||
Revision as of 21:30, 5 January 2011
Home < 2011 Winter Project Week:TubeTK VascularImageSegmentationAndAnalysis
Key Investigators
- Kitware: Stephen Aylward, Danielle Pace
- SPL: Steve Pieper
Objective
TubeTK is a new open-source toolkit that hosts algorithms for applications involving images of tubes. By focusing on the geometry of tubes we can accomplish many of the grand challenges in medical image analysis for a wide range significant cases, e.g., disease detection, diagnosis, treatment guidance, and monitoring using vascular features.
Approach, Plan
TODO
Progress
Delivery Mechanism
All software written during the project week will be contributed to TubeTK for release to the community.
