{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:38:35Z","timestamp":1767339515711,"version":"3.37.3"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-009"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-001"}],"funder":[{"name":"Dazhi Scholarship of the Guangdong Polytechnic Normal University"},{"name":"Key Laboratory of the Education Department of Guangdong Province","award":["2019KSYS009"],"award-info":[{"award-number":["2019KSYS009"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072122","62006049"],"award-info":[{"award-number":["62072122","62006049"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Mol. Biol. Multi-Scale Commun."],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1109\/tmbmc.2021.3099367","type":"journal-article","created":{"date-parts":[[2021,7,26]],"date-time":"2021-07-26T22:06:31Z","timestamp":1627337191000},"page":"17-27","source":"Crossref","is-referenced-by-count":33,"title":["A Novel Multi-Stage Residual Feature Fusion Network for Detection of COVID-19 in Chest X-Ray Images"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0120-4585","authenticated-orcid":false,"given":"Zhenyu","family":"Fang","sequence":"first","affiliation":[{"name":"School of Computer Sciences, Guangdong Polytechnic Normal University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6116-3194","authenticated-orcid":false,"given":"Jinchang","family":"Ren","sequence":"additional","affiliation":[{"name":"School of Computer Sciences, Guangdong Polytechnic Normal University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5262-8532","authenticated-orcid":false,"given":"Calum","family":"MacLellan","sequence":"additional","affiliation":[{"name":"Centre for Signal and Image Processing, University of Strathclyde, Glasgow, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0463-8178","authenticated-orcid":false,"given":"Huihui","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Sciences, Guangdong Polytechnic Normal University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6877-2002","authenticated-orcid":false,"given":"Huimin","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Computer Sciences, Guangdong Polytechnic Normal University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amir","family":"Hussain","sequence":"additional","affiliation":[{"name":"School of Computing, Edinburgh Napier University, Edinburgh, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4039-891X","authenticated-orcid":false,"given":"Giancarlo","family":"Fortino","sequence":"additional","affiliation":[{"name":"Department of Informatics, Modelling, Electronics and Systems, University of Calabria, Rende, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Covid-19 screening on chest x-ray images using deep learning based anomaly detection","year":"2020","author":"zhang","key":"ref39"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-18685-1"},{"journal-title":"Large-scale screening of covid-19 from community acquired pneumonia using infection size-aware classification","year":"2020","author":"shi","key":"ref33"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-021-07715-1"},{"journal-title":"Automatic Detection of COVID-19 Using X-Ray Images With Deep Convolutional Neural Networks and Machine Learning","year":"2020","author":"sohaib","key":"ref31"},{"journal-title":"Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis","year":"2020","author":"gozes","key":"ref30"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106897"},{"journal-title":"Estimating uncertainty and interpretability in deep learning for coronavirus (covid-19) detection","year":"2020","author":"ghoshal","key":"ref36"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2992546"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2995508"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.06.015"},{"journal-title":"Adam A method for stochastic optimization","year":"2014","author":"kingma","key":"ref62"},{"key":"ref61","first-page":"1","article-title":"Automatic differentiation in PyTorch","author":"paszke","year":"2017","journal-title":"Proc 31st Conf Neural Inf Process Syst"},{"journal-title":"SGDR Stochastic gradient descent with warm restarts","year":"2016","author":"loshchilov","key":"ref63"},{"key":"ref28","article-title":"COVID-19 detection using deep learning models to exploit social mimic optimization and structured chest X-ray images using fuzzy color and stacking approaches","volume":"121","author":"to?a\u00e7ar","year":"2020","journal-title":"Comput Biol Med"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2020.100360"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107608"},{"journal-title":"A cascade network for detecting covid-19 using chest x-rays","year":"2020","author":"lv","key":"ref29"},{"journal-title":"WHO Director-General&#x2019;s Opening Remarks at the Media Briefing on COVID-19&#x2013;11 March 2020","year":"2020","key":"ref2"},{"journal-title":"Statement on the Second Meeting of the International Health Regulations (2005) Emergency Committee Regarding the Outbreak of Novel Coronavirus (2019-nCoV)","year":"2005","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"journal-title":"A Deep Convolution Neural Network for COVID-19 Detection using Chest X-rays","year":"2020","author":"bassi","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/electronics9091388"},{"journal-title":"COVID-DA Deep domain adaptation from typical pneumonia to COVID-19","year":"2020","author":"zhang","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1080\/07391102.2020.1767212"},{"journal-title":"Convolutional sparse support estimator based COVID-19 recognition from X-ray images","year":"2020","author":"yamac","key":"ref25"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2994459"},{"key":"ref51","article-title":"Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey","volume":"65","author":"bhattacharya","year":"2020","journal-title":"Sustainable Cities and Society"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.09.010"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/34.993558"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2938758"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.02.060"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2020.102157"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018231"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30154-9"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30183-5"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-76550-z"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3348\/kjr.2020.0132"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2020.2987975"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200230"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ophtha.2017.10.031"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.6201"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-018-5595-8"},{"journal-title":"CheXNet Radiologist-level pneumonia detection on chest X-rays with deep learning","year":"2017","author":"rajpurkar","key":"ref18"},{"journal-title":"DeepCOVIDExplainer Explainable COVID-19 predictions based on chest X-ray images","year":"2020","author":"karim","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.m641"},{"year":"2020","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.14309\/ajg.0000000000000620"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30185-9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3027987"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3557504"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2994908"},{"journal-title":"COVID-19","year":"2020","author":"candace","key":"ref9"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3037127"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1136\/thoraxjnl-2017-211280"},{"journal-title":"CovidCTNet An open-source deep learning approach to identify COVID-19 using CT image","year":"2020","author":"javaheri","key":"ref48"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200905"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00097"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-88538-4"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020201160"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020203511"}],"container-title":["IEEE Transactions on Molecular, Biological and Multi-Scale Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6687308\/9772968\/09493719.pdf?arnumber=9493719","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T20:18:09Z","timestamp":1654546689000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9493719\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3]]},"references-count":65,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tmbmc.2021.3099367","relation":{},"ISSN":["2372-2061","2332-7804"],"issn-type":[{"type":"electronic","value":"2372-2061"},{"type":"electronic","value":"2332-7804"}],"subject":[],"published":{"date-parts":[[2022,3]]}}}