DeCoP: Deep Learning for COVID-19 Prediction of Survival-Reference-Cited by-同舟云学术

DeCoP: Deep Learning for COVID-19 Prediction of Survival

Published:2022-12 Issue:4 Volume:8 Page:239-248
ISSN:2372-2061
Container-title:IEEE Transactions on Molecular, Biological and Multi-Scale Communications
language:
Short-container-title:IEEE Trans. Mol. Biol. Multi-Scale Commun.

Author:

Deng Yao¹,Liu Shigang²^ORCID,Jolfaei Alireza¹^ORCID,Cheng Hongbing³^ORCID,Wang Ziyuan²,Zheng Xi¹^ORCID

Affiliation:

1. Department of Computing, Macquarie University, Sydney, NSW, Australia

2. School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC, Australia

3. College of Computer, Zhejiang University of Technology, Hangzhou, China

Funder

National Nature Science Foundation of China

Nature Science Foundation of Zhejiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Modeling and Simulation,Bioengineering,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/6687308/9997129/09790876.pdf?arnumber=9790876

Reference35 articles.

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2. COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning;afshar;Data Science Journal,2021

3. Coronavirus Pandemic (COVID-19);ritchie;Our World in Data,2020

4. Imaging Profile of the COVID-19 Infection: Radiologic Findings and Literature Review

5. Rapid AI development cycle for the coronavirus (COVID-19) pandemic: Initial results for automated detection & patient monitoring using deep learning CT image analysis;gozes;arXiv 2003 05037,2020