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

Pengcheng Xi

Stéphane Tremblay

Alexander Wong

ArXiv (abs)PDF HTML

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"

15 / 15 papers shown

Title
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 46 17 0 12 Oct 2021
Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System Michael Karnes Shehan Perera S. Adhikari Alper Yilmaz 46 7 0 08 Sep 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 Alexander MacLean Saad Abbasi Ashkan Ebadi Andy Zhao Maya Pavlova Hayden Gunraj Pengcheng Xi S. Kohli Alexander Wong 44 9 0 05 Aug 2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation Gen Li Varun Jampani Laura Sevilla-Lara Deqing Sun Jonghyun Kim Joongkyu Kim 100 364 0 05 Apr 2021
COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics Ashkan Ebadi Pengcheng Xi Alexander MacLean Stéphane Tremblay S. Kohli Alexander Wong 94 36 0 18 Mar 2021
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 106 98 0 19 Jan 2021
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images Hayden Gunraj Linda Wang A. Wong OOD 45 205 0 08 Sep 2020
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images Parnian Afshar Shahin Heidarian F. Naderkhani A. Oikonomou Konstantinos N. Plataniotis Arash Mohammadi MedIm 67 598 0 06 Apr 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images Linda Wang A. Wong OOD 136 2,505 0 22 Mar 2020
Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms Z. Q. Lin M. Shafiee S. Bochkarev Michael St. Jules Xiao Yu Wang A. Wong FAtt 68 81 0 16 Oct 2019
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 305 8,154 0 15 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 335 20,110 0 07 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,510 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,427 0 02 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,529 0 04 Sep 2014

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.