Home

Menu

Loading wiki pages...

View
Wiki Version:
<p><strong>Data Aggregation and Curation</strong></p> <p>Unlike many other projects in machine/deep learning, this project works exclusively with data from scans of humans (both controls and patients).</p> <p>For this reason, we have to ensure that any data set we use has to be compatible with the laws and regulations of the respective country/organization or hospital.</p> <p>All data should be anonymized. </p> <p>Having said that we need to:</p> <ol> <li>Work on the same data sets ideally with the same preprocessing steps. Eventually, we will also study the influence of preprocessing on the results.</li> <li>The plan for now is to build a preprocessing pipeline (will be made available through the GitHub) that ideally would be run on our server (AMC, Amsterdam) and made available.</li> </ol>
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.