‘Annotate Away COVID’ Event Extended Indefinitely
Fueled in part by 61,768 images from 27,276 patients contributed by the 黑料网® COVID-19 Imaging Research Registry™ (CIRR), the Medical Imaging and Data Research Center () has now released 105,000 imaging studies to the public to help researchers develop machine learning (ML) and artificial intelligence (AI) tools for COVID-19 care. Images are also contributed to MIDRC by the RSNA International COVID-19 Open Radiology Database ().
As a continuation of the event at the RSNA annual meeting, MIDRC invites radiologists to demonstrate their COVID-19 severity annotation skills and help provide a reference standard for AI algorithms by participating in the .
This COVID-19 severity annotation event on chest radiographs utilizes publicly available MIDRC imaging studies and seeks to build an annotated training set for an upcoming MIDRC Grand Challenge.
Take part in the event from your own computer — the process is fast and straightforward:
- Click through these or watch this before you annotate.
- to MD.ai.
- Complete Google form.
- Navigate back to MD.ai to annotate away COVID!
- Track your rankings on our live .
Learn more at .