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COVID-19 Grand Challenge

Assessing the suspicion and severity of COVID-19 in a CT scan

Diagnostic imaging with computed tomography (CT) and chest X-ray are proving increasingly important in detecting and assessing disease severity of COVID-19. To aid in the clear communication between radiologists and clinicians the Radiological Society of the Netherlands (NVvR) has proposed a standardised reporting system, CO-RADS, for assessing the suspicion and severity of COVID-19 in a CT scan. In this project, an existing platform, grand-challenge.org​ (with elements of the the EYRA benchmark platform, where suitable), will be furthered to enable the development and deployment of machine learning algorithms for automated scoring of CT scans using the CO-RADS system. Research team: James Meakin, Paul Gerke, Mike Overkamp and Miriam Groeneveld, Prof. Bram van Ginneken (Radboud UMC)eScience Research Engineers: Maarten van Meersbergen, Pushpanjali Pawar, Jesus Garcia González

Participating organisations

Netherlands eScience Center

Team

JM
James Meakin
Principal investigator
Jesus Garcia Gonzalez
Jesus Garcia Gonzalez
eScience Research Engineer
Netherlands eScience Center
Maarten van Meersbergen
Maarten van Meersbergen
eScience Research Engineer
Netherlands eScience Center
PP
Pushpanjali Pawar
eScience Research Engineer
Netherlands eScience Center

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