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Home / Groups / eeDAP studies / Wiki / High-throughput Truthing
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  • Created 13 Jan 2017

High-throughput Truthing

by Brandon D. Gallas

Updates

This project is generally open to new participants. There is a lot of work to be done. We are especially looking for collaborators that can help us connect with pathologist colleges, societies and associations and related conferences. We want to plan and execute data-collection events, go to where there are many pathologists and crowdsource their expertise.

We will use the eeDAPstudies NCIPhub group to coordinate communications. So if you are a member, you will receive related communications about that project in addition to communications about the eeDAP MDDT. If you are not a member, sign up or check for updates here and in the blog. Updates will also be provided to the WSI working group on a less frequent basis.

Year 2: High-throughput truthing of microscope slides to validate artificial intelligence algorithms analyzing digital scans of pathology slides: data (images + annotations) as an FDA-qualified medical device development tool (MDDT).

Year 1: High-throughput truthing of microscope slides to validate artificial intelligence algorithms analyzing digital scans of pathology slides: leveraging data collected in international “grand challenges”.

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