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COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical
  Network to Monitor and Detect COVID-19 Infection from Point-of-Care
  Ultrasound Images

COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images

4 January 2023
Jessy Song
Ashkan Ebadi
A. Florea
Pengcheng Xi
Stéphane Tremblay
Alexander Wong
ArXivPDFHTML

Papers citing "COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images"

3 / 3 papers shown
Title
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network
  Architecture for Medical Image Analysis
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis
Hossein Aboutalebi
Maya Pavlova
Hayden Gunraj
M. Shafiee
A. Sabri
Amer Alaref
Alexander Wong
20
17
0
12 Oct 2021
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
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19
  from Chest CT Images Through Bigger, More Diverse Learning
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning
Hayden Gunraj
A. Sabri
D. Koff
A. Wong
68
98
0
19 Jan 2021
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