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

PURPOSE: 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). MATERIALS AND METHODS: Using Twitter search features, all tweets containing keywor...

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Detalles Bibliográficos
Autores principales: Khurana, Shikhar, Chopra, Rohan, Khurana, Bharti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7811945/
https://www.ncbi.nlm.nih.gov/pubmed/33459907
http://dx.doi.org/10.1007/s10140-020-01885-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7811945/
https://www.ncbi.nlm.nih.gov/pubmed/33459907
http://dx.doi.org/10.1007/s10140-020-01885-z

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