Computer Vision News Computer Vision News 36 approach to dealing with this specific problem.” The competition is designed to encourage participation from a wide range of teams. “We have prize money for this challenge available for anybody who would like to compete,” Emily reveals. “Hopefully, some of your readers will be interested in competing!” However, rewards aside, participants must bring rigorous science and agree to make their code and AI model publicly accessible for open science purposes. While the challenge focuses on pneumonia, the techniques developed will have wider applications across other diseases and AI-driven medical studies. “We’re using pneumonia as the main topic of this challenge, but the techniques developed will be much more general,” Lubomir adds. “That’s why the work of our group is very important. We’re growing and developing techniques in general for the medical field and imaging!” We thank Emily for all her hard work in making this interview happen! And thanks to the Grand Challenge - Medical Imaging The Medical Imaging and Data Resource Center (MIDRC), an open, high-quality and linked-data commons containing medical images and clinical metadata, was begun in the early days of the COVID-19 pandemic as a collaborative initiative between the American Association of Physicists in Medicine (AAPM), the American College of Radiology (ACR), the Radiological Society of North America (RSNA) and the Gen3 data ecosystem at the University of Chicago. MIDRC is primarily funded by the US National Institutes of Health (NIH)/NIBIB and the Advanced Projects Agency for Health (ARPA-H), and is aimed at supporting machine intelligence research in the development of algorithms for the detection, diagnosis, monitoring, and prognosis of disease. You can learn more about MIDRC here, and access the open data commons here. If you’re interested in competing in the MIDRC XAI Challenge, which is offering $50,000 USD total in prize money for the top-ranked teams, registration is open now through September 30th. You can register and learn more on the XAI Challenge platformhere.
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