Challenge: SIIM-FISABIO-RSNA COVID-19 Detection | Technology Org

Challenge: SIIM-FISABIO-RSNA COVID-19 Detection | Technology Org

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Image credit: Mikael Häggström/Wikipedia/CC0

Five times more deadly than the flu, COVID-19 causes significant morbidity and mortality. Like other pneumonias, pulmonary infection with COVID-19 results in inflammation and fluid in the lungs. COVID-19 looks very similar to other viral and bacterial pneumonias on chest radiographs, which makes it difficult to diagnose.

Your computer vision model to detect and localize COVID-19 would help doctors provide a quick and confident diagnosis. As a result, patients could get the right treatment before the most severe effects of the virus take hold.

As the leading healthcare organization in their field, the Society for Imaging Informatics in Medicine (SIIM)’s mission is to advance medical imaging informatics through education, research, and innovation. SIIM has partnered with the Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Medical Imaging Databank of the Valencia Region (BIMCV) and the Radiological Society of North America (RSNA) for this competition.

In this competition, you’ll identify and localize COVID-19 abnormalities on chest radiographs. In particular, you’ll categorize the radiographs as negative for pneumonia or typical, indeterminate, or atypical for COVID-19. You and your model will work with imaging data and annotations from a group of radiologists.

Submissions to this Challenge must be received by 11:59 PM UTC, August 9, 2021.

Source: Kaggle




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