Automated processing of social media content for radiologists: applied deep learning to radiological content on twitter during COVID-19 pandemic

The purpose of this study was to develop an automated process to analyze multimedia content on Twitter during the COVID-19 outbreak and classify content for radiological significance using deep learning (DL). Applying DL on rich textual images and other metadata in tweets we can process and classify content for radiological significance in real time.

Automated processing of social media content for radiologists: applied deep learning to radiological content on twitter during COVID-19 pandemic
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