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COVID-Net S: Towards computer-aided severity assessment via training and
  validation of deep neural networks for geographic extent and opacity extent
  scoring of chest X-rays for SARS-CoV-2 lung disease severity

COVID-Net S: Towards computer-aided severity assessment via training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severity

26 May 2020
A. Wong
Z. Q. Lin
Linda Wang
A. Chung
B. Shen
A. Abbasi
M. Hoshmand-Kochi
T. Duong
ArXivPDFHTML

Papers citing "COVID-Net S: Towards computer-aided severity assessment via training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severity"

3 / 3 papers shown
Title
COVID-19 Image Data Collection
COVID-19 Image Data Collection
Joseph Paul Cohen
Paul Morrison
Lan Dao
57
1,010
0
25 Mar 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for
  Detection of COVID-19 Cases from Chest X-Ray Images
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
64
2,491
0
22 Mar 2020
The Effectiveness of Data Augmentation in Image Classification using
  Deep Learning
The Effectiveness of Data Augmentation in Image Classification using Deep Learning
Luis Perez
Jason Wang
46
2,771
0
13 Dec 2017
1