Difference between revisions of "EMSegmenter-UseCaseAdvertisement"

From Slicer Wiki
Jump to: navigation, search
Line 23: Line 23:
 
* this page will contain a description of your segmentation problem, the exact workflow of obtaining the segmentation, an acknowledgment of your lab and links to your institution and related research paper  
 
* this page will contain a description of your segmentation problem, the exact workflow of obtaining the segmentation, an acknowledgment of your lab and links to your institution and related research paper  
 
* if you can provide us with criteria that define a good segmentation, we will use them in optimization efforts.
 
* if you can provide us with criteria that define a good segmentation, we will use them in optimization efforts.
* example of what the final shared product will look like
+
* [[ EMSegmenter-Tasks:MRI-Human-Brain-Parcellation | example of what the final shared product will look like ]]
  
 
=Limitations/Disclaimer=
 
=Limitations/Disclaimer=

Revision as of 20:01, 5 January 2011

Home < EMSegmenter-UseCaseAdvertisement

Call for Datasets for the EM Segmenter Use Case Library

Let us help you turn your segmentation problem into a success story. If you have an interesting or vexing segmentation problem that is not yet covered in the Library , send us your case: we will try to segment it for you and design a tailored segmentation approach you can use. We then add the anonymized data to the library and build a guided step-by-step tutorial for it. This is a time and resource limited service available until July 1, 2011.
If interested drop a line to Dominique.Belhachemi at uphs.upenn.edu or Kilian.Pohl at uphs.upenn.edu


What You Will Need To Do

  • just send us an Email with a brief description of the problem
  • send us your image data with the corresponding manual segmentation. Please provide more than 10 instances, so that we can generate a robust atlas.
  • save your image data as NRRD or NIFTI files
  • if you are unsuccessful in saving the data as described above (which is the anonymization), see our Anonymization Instructions , or let us know and we'll walk you through it.

What We Will Do

  • based on your manual segmentations we will create a atlas
  • we will create a 3DSlicer scene with optimized EM Segmenter parameters for your use case
  • we will send you the final result as well as the procedure and parameters
  • we will add your use case to our Segmentation Task Library which will become part of a future 3DSlicer version
  • this will contain parameters for a successful segmentation which you can load directly into slicer and apply on your data
  • we will post the anonymized image data as a new case in our Slicer Registration Case Library.
  • this page will contain a description of your segmentation problem, the exact workflow of obtaining the segmentation, an acknowledgment of your lab and links to your institution and related research paper
  • if you can provide us with criteria that define a good segmentation, we will use them in optimization efforts.
  • example of what the final shared product will look like

Limitations/Disclaimer

  • we can assist only with 3DSlicer software.
  • this is a time-limited service, available in a first trial until 'July 1, 2011.
  • depending on workload, we try to get you something within a few weeks, but we cannot guarantee a particular result or a specific turnaround time.
  • all shared data-sets are anonymized. Sharing anonymized data in most cases is IRB exempt based on Code of Federal Regulations 45 CFR 46.101(b), which lists as exemption category 4:
   Unless otherwise required by department or agency heads, [...] the following categories are exempt [...]: 
   
   4.Research involving the collection or study of existing data, documents, records , pathological specimens, 
   or diagnostic specimens, if these sources are publicly available or if the information is recorded by the 
   investigator in  such a manner that subjects cannot be identified, directly or through identifiers linked 
   to the subjects.