Difference between revisions of "Seedings results comparison"
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==Key Investigators== | ==Key Investigators== | ||
− | * Harvard Medical School: | + | * Harvard Medical School: Antonin Perrot-Audet, Kishore Mosaliganti, Sean Megason |
− | * | + | * RPI: Badri Roysam, Raghav Padmanabhan |
− | |||
+ | ==Project== | ||
+ | [[File:Seed.png]] | ||
<div style="margin: 20px;"> | <div style="margin: 20px;"> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<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> | ||
Line 13: | Line 17: | ||
<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 algorithms in ITK: | ||
+ | ** Radial voting, | ||
+ | ** Multi-scale Distance Map weighted Laplacian of Gaussian. | ||
+ | * Created a collaboration framework using ITK: | ||
+ | ** Set of utilities for input images normalization | ||
+ | ** Developed a windowed local maxima filter | ||
+ | * Evaluated and compared output of on synthetic 2D data & 3D Nuclei channel from Megason Lab | ||
+ | ** Multi-scale Distance Map weighted Laplacian of Gaussian. | ||
+ | ** Radial voting | ||
+ | |||
+ | <h3>Next</h3> | ||
+ | * Implement state of the art seeding algorithms with ITK | ||
+ | ** gradient flow tracking | ||
+ | * Evaluate new algorithms | ||
</div> | </div> | ||
</div> | </div> | ||
+ | ==Ressources== | ||
+ | * Source code : | ||
+ | git@github.com:antonin07130/NAMICSeeding.git | ||
+ | We shall use [http://git-scm.com/ git] for version control : | ||
+ | A small introduction to git : [http://sourceforge.net/apps/trac/gofigure2/wiki/GIT here] | ||
+ | * Data set : | ||
+ | Non public | ||
<div style="width: 97%; float: left;"> | <div style="width: 97%; float: left;"> |
Latest revision as of 14:06, 25 June 2010
Home < Seedings results comparisonContents
Key Investigators
- Harvard Medical School: Antonin Perrot-Audet, Kishore Mosaliganti, Sean Megason
- RPI: Badri Roysam, Raghav Padmanabhan
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 algorithms in ITK:
- Radial voting,
- Multi-scale Distance Map weighted Laplacian of Gaussian.
- Created a collaboration framework using ITK:
- Set of utilities for input images normalization
- Developed a windowed local maxima filter
- Evaluated and compared output of on synthetic 2D data & 3D Nuclei channel from Megason Lab
- Multi-scale Distance Map weighted Laplacian of Gaussian.
- Radial voting
Next
- Implement state of the art seeding algorithms with ITK
- gradient flow tracking
- Evaluate new algorithms
Ressources
- Source code :
git@github.com:antonin07130/NAMICSeeding.git
We shall use git for version control : A small introduction to git : here
- Data set :
Non public