DEEMD: Drug Efficacy Estimation Against SARS-CoV-2 Based on Cell Morphology With Deep Multiple Instance Learning-Reference-Cited by-同舟云学术

DEEMD: Drug Efficacy Estimation Against SARS-CoV-2 Based on Cell Morphology With Deep Multiple Instance Learning

Published:2022-11 Issue:11 Volume:41 Page:3128-3145
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Saberian M. Sadegh¹^ORCID,Moriarty Kathleen P.¹^ORCID,Olmstead Andrea D.²^ORCID,Hallgrimson Christian¹^ORCID,Jean Francois²^ORCID,Nabi Ivan R.³^ORCID,Libbrecht Maxwell W.¹^ORCID,Hamarneh Ghassan¹^ORCID

Affiliation:

1. School of Computing Science, Simon Fraser University, Burnaby, BC, Canada

2. Department of Microbiology and Immunology, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada

3. Department of Cellular and Physiological Sciences, School of Biomedical Engineering, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada

Funder

Canadian Institutes of Health Research CIHR Operating Grant

Natural Sciences and Engineering Research Council of Canada NSERC Alliance COVID19 grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/9931396/09783182.pdf?arnumber=9783182

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