Crossmark

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

Crossref DOI link: https://doi.org/10.1007/978-3-030-87722-4_18

Published Online: 2021-09-21

Published Print: 2021

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

MacLean, Alexander

Abbasi, Saad

Ebadi, Ashkan

Zhao, Andy

Pavlova, Maya

Gunraj, Hayden

Xi, Pengcheng

Kohli, Sonny

Wong, Alexander
License Information

Text and Data Mining valid from 2021-01-01

Version of Record valid from 2021-01-01

Text and Data Mining valid from 2021-01-01

Version of Record valid from 2021-01-01
More Information

Chapter History

First Online: 21 September 2021

Conference Information

Conference Acronym: FAIR

Conference Name: Workshop on Affordable Healthcare and AI for Resource Diverse Global Health

Conference City: Strasbourg

Conference Country: France

Conference Year: 2021

Conference Start Date: 27 September 2021

Conference End Date: 27 September 2021

Conference Number: 1

Conference ID: fair22021

Conference URL: https://sites.google.com/view/fair-workshop-2021/home

Peer Review Information (provided by the conference organizers)

Type: Double-blind

Conference Management System: CMT

Number of Submissions Sent for Review: 17

Number of Full Papers Accepted: 10

Number of Short Papers Accepted: 0

Acceptance Rate of Full Papers: 59% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.

Average Number of Reviews per Paper: 2.8

Average Number of Papers per Reviewer: 2.5

External Reviewers Involved: No

Additional Info on Review Process: The conference was held virtually due to the COVID-19 pandemic.

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