Two-Parallel-Step CNN Framework for Detection of COVID-19 Based on Segmented CT-Scan and Chest X-Ray Images.
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| Title: | Two-Parallel-Step CNN Framework for Detection of COVID-19 Based on Segmented CT-Scan and Chest X-Ray Images. |
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| Authors: | Bahroun, Sahbi1 (AUTHOR) sahbi.bahroun@isi.utm.tn |
| Source: | Vietnam Journal of Computer Science (World Scientific). May2026, Vol. 13 Issue 2, p213-239. 27p. |
| Database: | Environment Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: eih DbLabel: Environment Complete An: 192435598 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=192435598 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1142/S219688882550006X Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 213 Titles: – TitleFull: Two-Parallel-Step CNN Framework for Detection of COVID-19 Based on Segmented CT-Scan and Chest X-Ray Images. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bahroun, Sahbi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 21968888 Numbering: – Type: volume Value: 13 – Type: issue Value: 2 Titles: – TitleFull: Vietnam Journal of Computer Science (World Scientific) Type: main |
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