Difference between revisions of "Seedings results comparison"
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<h3>Objective</h3> | <h3>Objective</h3> | ||
| + | * Improve segmentation algorithms initialization for nuclei detection in 3D fluorescent microscopy: | ||
| + | ** get a better accuracy, | ||
| + | ** improve computation speed. | ||
</div> | </div> | ||
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<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
| − | + | * Compare different algorithms, | |
| + | * Find a measure to evaluate different algorithm results, | ||
| + | * Fusion output of several algorithms. | ||
</div> | </div> | ||
<div style="width: 40%; float: left;"> | <div style="width: 40%; float: left;"> | ||
<h3>Progress</h3> | <h3>Progress</h3> | ||
| − | + | * Implemented 3 different algorrithms with ITK: | |
| + | ** Tensor voting, | ||
| + | ** Hough transform, | ||
| + | ** Multiscale Distance Map weighted Laplacian of Gaussian. | ||
</div> | </div> | ||
</div> | </div> | ||
<div style="width: 97%; float: left;"> | <div style="width: 97%; float: left;"> | ||
Revision as of 22:12, 8 June 2010
Home < Seedings results comparison
Key Investigators
- Harvard Medical School: Antonin Perrot-Audet, Kishore Mosaliganti, Sean Megason
- RPI: Badri Roysam
Project
Objective
- Improve segmentation algorithms initialization for nuclei detection in 3D fluorescent microscopy:
- get a better accuracy,
- improve computation speed.
Approach, Plan
- Compare different algorithms,
- Find a measure to evaluate different algorithm results,
- Fusion output of several algorithms.
Progress
- Implemented 3 different algorrithms with ITK:
- Tensor voting,
- Hough transform,
- Multiscale Distance Map weighted Laplacian of Gaussian.
