Difference between revisions of "EMSegmenter-UseCaseAdvertisement"
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* we will create a 3DSlicer scene with optimized EM Segmenter parameters for your use case | * 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 send you the final result as well as the procedure and parameters | ||
− | * we will add your use case (3DSlicer scene + atlas data) to our [ | + | * we will add your use case (3DSlicer scene + atlas data) to our [[EMSegmenter-Tasks|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 | * this will contain parameters for a successful segmentation which you can load directly into slicer and apply on your data | ||
* this page will also 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 also 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 |
Latest revision as of 02:25, 27 November 2019
Home < EMSegmenter-UseCaseAdvertisementReturn to EMSegmenter Overview Page
Contents
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 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. Please also insure that the data can be publicly distributed
- 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 segmentations we will create an 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 (3DSlicer scene + atlas data) 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
- this page will also 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.