Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-Ray Images

Satu, MS Ahammed, K Abedin, MZ Rahman, MA Islam, SMS Azad, AKM Alyami, SA Moni, MA

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Field	Value	Language
dc.contributor.author	Satu, MS
dc.contributor.author	Ahammed, K
dc.contributor.author	Abedin, MZ
dc.contributor.author	Rahman, MA
dc.contributor.author	Islam, SMS
dc.contributor.author	Azad, AKM
dc.contributor.author	Alyami, SA
dc.contributor.author	Moni, MA
dc.date.accessioned	2024-06-04T01:06:36Z
dc.date.available	2024-06-04T01:06:36Z
dc.date.issued	2023
dc.identifier.citation	2023, 490, pp. 152-166
dc.identifier.isbn	9783031346187
dc.identifier.issn	1867-8211
dc.identifier.issn	1867-822X
dc.identifier.uri	http://hdl.handle.net/10453/179377
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartofseries	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
dc.relation.isbasedon	10.1007/978-3-031-34619-4_13
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-Ray Images
dc.type	Conference Proceeding
utslib.citation.volume	490
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Science
utslib.copyright.status	in_progress	*
dc.date.updated	2024-06-04T01:06:35Z
pubs.publication-status	Published
pubs.volume	490

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