A hybrid CNN and ensemble model for COVID-19 lung infection detection on chest CT scans.
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| Title: | A hybrid CNN and ensemble model for COVID-19 lung infection detection on chest CT scans. |
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| Authors: | Akl AA; Senior Machine Learning Engineer, VA Computing, Cairo, Egypt., Hosny KM; Department of Information Technology, Faculty of Computers and Informatics, Zagazig University, Zagazig, Sharkia Egypt., Fouda MM; Department of Electrical and Computer Engineering, Idaho State University, Pocatello, ID, United States of America., Salah A; Department of Computer Science, Faculty of Computers and Informatics, Zagazig University, Zagazig, Sharkia, Egypt.; Department of Information Technology, College of Computing and Information Sciences, University of Technology and Applied Sciences, Ibri, Al Dhahirah, Sultanate of Oman. |
| Source: | PloS one [PLoS One] 2023 Mar 09; Vol. 18 (3), pp. e0282608. Date of Electronic Publication: 2023 Mar 09 (Print Publication: 2023). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36893081 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A hybrid CNN and ensemble model for COVID-19 lung infection detection on chest CT scans. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Akl+AA%22">Akl AA</searchLink>; Senior Machine Learning Engineer, VA Computing, Cairo, Egypt.<br /><searchLink fieldCode="AU" term="%22Hosny+KM%22">Hosny KM</searchLink>; Department of Information Technology, Faculty of Computers and Informatics, Zagazig University, Zagazig, Sharkia Egypt.<br /><searchLink fieldCode="AU" term="%22Fouda+MM%22">Fouda MM</searchLink>; Department of Electrical and Computer Engineering, Idaho State University, Pocatello, ID, United States of America.<br /><searchLink fieldCode="AU" term="%22Salah+A%22">Salah A</searchLink>; Department of Computer Science, Faculty of Computers and Informatics, Zagazig University, Zagazig, Sharkia, Egypt.; Department of Information Technology, College of Computing and Information Sciences, University of Technology and Applied Sciences, Ibri, Al Dhahirah, Sultanate of Oman. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2023 Mar 09; Vol. 18 (3), pp. e0282608. <i>Date of Electronic Publication: </i>2023 Mar 09 (<i>Print Publication: </i>2023). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101285081 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-6203 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219326203%22">19326203 </searchLink><i>NLM ISO Abbreviation: </i>PLoS One <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36893081 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0282608 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e0282608 Titles: – TitleFull: A hybrid CNN and ensemble model for COVID-19 lung infection detection on chest CT scans. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Akl AA – PersonEntity: Name: NameFull: Hosny KM – PersonEntity: Name: NameFull: Fouda MM – PersonEntity: Name: NameFull: Salah A IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 03 Text: 2023 Mar 09 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1932-6203 Numbering: – Type: volume Value: 18 – Type: issue Value: 3 Titles: – TitleFull: PloS one Type: main |
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