Difference between revisions of "Projects:MethodEvaluationValidation"

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Back to [[NA-MIC_Collaborations|NA-MIC Collaborations]], [[Algorithm:UNC|UNC Algorithms]]
 
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=  Evaluation and Comparison of Medical Image Analysis Methods =
 
=  Evaluation and Comparison of Medical Image Analysis Methods =
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In this project, we want to focus on the evaluation of medical image analysis methods for specific clinical applications in respect to  development of evaluation methodology and the organization of venues promoting such comparison and validation studies.
 
In this project, we want to focus on the evaluation of medical image analysis methods for specific clinical applications in respect to  development of evaluation methodology and the organization of venues promoting such comparison and validation studies.
  
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= Description =
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[[Image:Cause07Competition.gif|thumb|300px|]]
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We have developed an [http://mbi.dkfz-heidelberg.de/grand-challenge2007/download/eval-src3.tar.gz open source tool] for the evaluation of 3D segmentation algorithms combining a variety of segmentation comparison methods with respect to the performance of human expert raters. This tool was employed during the workshop on [http://mbi.dkfz-heidelberg.de/grand-challenge2007 "3D Segmentation in the Clinic - A Grand Challenge"], on October 26, 2007 held in conjunction with MICCAI 2007 and continues to be used in workshop attached websites on [http://cause07.org/ Caudate Segmentation Evaluation (2007)] and [http://sliver07.org Segmentation of the Liver (2007)].
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You can browse the results of various systems, and read papers and descriptions about the methods that have been applied to the CAUSE07 data set. If you want to join the competition, you can register a team, download training and test data, and submit the results of your own algorithms, provided you adhere to and agree with the rules. More information is available in the answers to frequently asked questions.
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You may also want to visit sliver07.org, the website for the liver segmentation competition that was also part of the workshop mentioned above.
  
 
* Co-Organization of MICCAI 2007 workshop on [http://mbi.dkfz-heidelberg.de/grand-challenge2007 "3D Segmentation in the Clinic - A Grand Challenge"] focusing on liver and caudate segmentation from CT and MRI  
 
* Co-Organization of MICCAI 2007 workshop on [http://mbi.dkfz-heidelberg.de/grand-challenge2007 "3D Segmentation in the Clinic - A Grand Challenge"] focusing on liver and caudate segmentation from CT and MRI  

Revision as of 20:34, 2 January 2008

Home < Projects:MethodEvaluationValidation

Back to NA-MIC Collaborations, UNC Algorithms

Evaluation and Comparison of Medical Image Analysis Methods

In this project, we want to focus on the evaluation of medical image analysis methods for specific clinical applications in respect to development of evaluation methodology and the organization of venues promoting such comparison and validation studies.

Description

Cause07Competition.gif

We have developed an open source tool for the evaluation of 3D segmentation algorithms combining a variety of segmentation comparison methods with respect to the performance of human expert raters. This tool was employed during the workshop on "3D Segmentation in the Clinic - A Grand Challenge", on October 26, 2007 held in conjunction with MICCAI 2007 and continues to be used in workshop attached websites on Caudate Segmentation Evaluation (2007) and Segmentation of the Liver (2007).

You can browse the results of various systems, and read papers and descriptions about the methods that have been applied to the CAUSE07 data set. If you want to join the competition, you can register a team, download training and test data, and submit the results of your own algorithms, provided you adhere to and agree with the rules. More information is available in the answers to frequently asked questions. You may also want to visit sliver07.org, the website for the liver segmentation competition that was also part of the workshop mentioned above.

Key Investigators

UNC Algorithms: Martin Styner