Difference between revisions of "2009 Project Week Data Clinic"
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*researchers with medical images that need to be edited, segmented, registered, visualized, quantified... | *researchers with medical images that need to be edited, segmented, registered, visualized, quantified... | ||
| − | During this ''clinic''', experts in the NA-MIC and NCIGT kits will help participants analyze their medical imagery. | + | Tuesday: 2.30-3.30 |
| + | |||
| + | During this '''clinic''', experts in the NA-MIC and NCIGT kits will help participants analyze their medical imagery. | ||
| + | |||
| + | Preparation: | ||
| + | |||
| + | * Attendees should bring to Project Week representative examples of the data they intend to work with. | ||
| + | * If possible, include links to web sites or other reference documentation that describes the data: | ||
| + | ** how it was acquired | ||
| + | ** how much data there is | ||
| + | ** what format it is in (including links to to format documentation and/or example source code) | ||
| + | ** what metadata you have, such as demographics, clinical data, acquisition protocols, etc | ||
| + | ** what restrictions are there on the data (i.e. subject privacy, pre-publication restrictions, etc). | ||
| + | * Be ready to briefly describe your needs for working with the data | ||
Agenda: | Agenda: | ||
*xnat for end-users (Dan Marcus) | *xnat for end-users (Dan Marcus) | ||
Latest revision as of 03:09, 20 June 2009
Home < 2009 Project Week Data ClinicBack to 2009_Summer_Project_Week#Agenda
Moderator: Ron Kikinis
Target Audience
- researchers with medical images that need to be edited, segmented, registered, visualized, quantified...
Tuesday: 2.30-3.30
During this clinic, experts in the NA-MIC and NCIGT kits will help participants analyze their medical imagery.
Preparation:
- Attendees should bring to Project Week representative examples of the data they intend to work with.
- If possible, include links to web sites or other reference documentation that describes the data:
- how it was acquired
- how much data there is
- what format it is in (including links to to format documentation and/or example source code)
- what metadata you have, such as demographics, clinical data, acquisition protocols, etc
- what restrictions are there on the data (i.e. subject privacy, pre-publication restrictions, etc).
- Be ready to briefly describe your needs for working with the data
Agenda:
- xnat for end-users (Dan Marcus)
