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Fourth place in the RSNA Pneumonia Detection Challenge

A team from 16 Bit and Layer 6 AI placed fourth of 1,400 teams in the Radiological Society of North America's 2018 challenge to detect pneumonia on chest radiographs.

The challenge used a public chest X-ray dataset from the US National Institutes of Health, annotated for probable pneumonia. Of more than 1,400 registered teams, 346 submitted final results. The 16 Bit and Layer 6 entry combined three object detectors with a classification network.