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COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network
  Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound
  Videos

COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound Videos

18 May 2022
Hilda Azimi
Ashkan Ebadi
Jessy Song
Pengcheng Xi
Alexander Wong
ArXivPDFHTML

Papers citing "COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound Videos"

1 / 1 papers shown
Title
COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep
  Convolutional Neural Network Design for Detection of COVID-19 Patient Cases
  from Point-of-care Ultrasound Imaging
COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-care Ultrasound Imaging
Alexander MacLean
Saad Abbasi
Ashkan Ebadi
Andy Zhao
Maya Pavlova
Hayden Gunraj
Pengcheng Xi
S. Kohli
Alexander Wong
15
9
0
05 Aug 2021
1