Difference between revisions of "EMSegmenter-UseCaseAdvertisement"
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* this is a time-limited service, available in a first trial until 'July 1, 2011. | * 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. | * 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 | + | * 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: |
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− | + | Unless otherwise required by department or agency heads, [...] the following categories are exempt [...]: | |
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− | + | 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. | |
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Revision as of 19:59, 5 January 2011
Home < EMSegmenter-UseCaseAdvertisementContents
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.