{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T02:31:20Z","timestamp":1772159480039,"version":"3.50.1"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["EP\/P009727\/1"],"award-info":[{"award-number":["EP\/P009727\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000275","name":"Leverhulme Trust","doi-asserted-by":"publisher","award":["RF-2019-492"],"award-info":[{"award-number":["RF-2019-492"]}],"id":[{"id":"10.13039\/501100000275","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3058854","type":"journal-article","created":{"date-parts":[[2021,2,12]],"date-time":"2021-02-12T21:13:27Z","timestamp":1613164407000},"page":"28716-28728","source":"Crossref","is-referenced-by-count":40,"title":["Auto-Diagnosis of COVID-19 Using Lung CT Images With Semi-Supervised Shallow Learning Network"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7423-9319","authenticated-orcid":false,"given":"Debanjan","family":"Konar","sequence":"first","affiliation":[]},{"given":"Bijaya K.","family":"Panigrahi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0360-7919","authenticated-orcid":false,"given":"Siddhartha","family":"Bhattacharyya","sequence":"additional","affiliation":[]},{"given":"Nilanjan","family":"Dey","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1721-9474","authenticated-orcid":false,"given":"Richard","family":"Jiang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2949516"},{"key":"ref38","first-page":"918","article-title":"White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks","volume":"17","author":"guerrero","year":"2017","journal-title":"Clin Neuro"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/11744085_43"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.07.017"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.266"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1979.4310076"},{"key":"ref37","author":"yan","year":"2020","journal-title":"ccaPL"},{"key":"ref36","article-title":"COVID-19 CT lung and infection segmentation dataset (version verson 1.0) [data set]","author":"jun","year":"2020","journal-title":"Zenodo"},{"key":"ref35","article-title":"SARS-CoV-2 CT-scan dataset: A large dataset of real patients CT scans for SARS-CoV-2 identification","author":"soares","year":"2020","journal-title":"medRxiv"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2993291"},{"key":"ref10","article-title":"Towards data-efficient learning: A benchmark for COVID-19 CT lung and infection segmentation","author":"ma","year":"2020","journal-title":"arXiv 2004 12537"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1976.10481562"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200905"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10096-020-03901-z"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2994459"},{"key":"ref14","article-title":"A deep learning algorithm using CT images to screen for corona virus disease (COVID-19)","author":"wang","year":"2020","journal-title":"medRxiv"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2992546"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2995965"},{"key":"ref17","article-title":"COVID-19 chest CT image segmentation&#x2014; A deep convolutional neural network solution","author":"yan","year":"2020","journal-title":"arXiv 2004 10987"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2994908"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2996256"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2014.08.027"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"32e","DOI":"10.1148\/radiol.2020200642","article-title":"Correlation of chest CT and RT-PCR testing for coronavirus disease 2019 (COVID-19) in China: A report of 1014 cases","volume":"296","author":"ai","year":"2020","journal-title":"Radiology"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.12.040"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s42058-020-00031-5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0177-5"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2014.04.006"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-019-0447-x"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2947506"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2892409"},{"key":"ref2","year":"2020","journal-title":"Coronavirus disease (COVID-19) Weekly Epidemiological Update and Weekly Operational Update (2020)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref1","year":"2020","journal-title":"Coronavirus disease (COVID-19) Pandemic"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106348"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON.2019.8929585"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON.2019.8929585"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-007-0072-z"},{"key":"ref41","first-page":"1094","article-title":"Super-linearly convergent BP learning algorithm for feed forward neural networks","volume":"11","author":"zhen","year":"2000","journal-title":"J Softw"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.1993.390285"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICACCI.2016.7732330"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2010.01.015"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09352732.pdf?arnumber=9352732","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T14:56:49Z","timestamp":1639753009000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9352732\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3058854","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-34596\/v2","asserted-by":"object"},{"id-type":"doi","id":"10.21203\/rs.3.rs-34596\/v1","asserted-by":"object"}]},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}