Wszystkie pola: "10.1016/j.jmir.2016.09.00131047215" - OpacWWW

Skocz do pozycji: 1.

Tytuł:: Automated processing of social media content for radiologists: applied deep learning to radiological content on twitter during COVID-19 pandemic.
Autorzy:: Khurana S; M.S. Ramaiah Medical College, M.S. Ramaiah Nagar, Bangalore, Karnataka, 560054, India.
Chopra R; Trauma Imaging Research and Innovation Center, Department of Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA.
Khurana B; Trauma Imaging Research and Innovation Center, Department of Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA. .; Divison of Emergency Radiology, Department of Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA. .; Pokaż więcej
Źródło:: Emergency radiology [Emerg Radiol] 2021 Jun; Vol. 28 (3), pp. 477-483. Date of Electronic Publication: 2021 Jan 18.
Typ publikacji:: Journal Article
MeSH Terms:: Deep Learning*
Social Media*
COVID-19/*diagnostic imaging
Pneumonia, Viral/*diagnostic imaging
COVID-19/epidemiology ; Humans ; Pandemics ; Pneumonia, Viral/epidemiology ; SARS-CoV-2 ; Software

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