A Novel Framework for Cardiovascular Disease Detection Using a Hybrid CWT-SIFT Image Representation and a Lightweight Residual Attention Network.
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| Title: | A Novel Framework for Cardiovascular Disease Detection Using a Hybrid CWT-SIFT Image Representation and a Lightweight Residual Attention Network. |
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| Authors: | El Boujnouni, Imane1,2 (AUTHOR) |
| Source: | Diagnostics (2075-4418). Jan2026, Vol. 16 Issue 1, p5. 32p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 190784978 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Novel Framework for Cardiovascular Disease Detection Using a Hybrid CWT-SIFT Image Representation and a Lightweight Residual Attention Network. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22El+Boujnouni%2C+Imane%22">El Boujnouni, Imane</searchLink><relatesTo>1,2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Diagnostics+%282075-4418%29%22">Diagnostics (2075-4418)</searchLink>. Jan2026, Vol. 16 Issue 1, p5. 32p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190784978 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/diagnostics16010005 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 32 StartPage: 5 Titles: – TitleFull: A Novel Framework for Cardiovascular Disease Detection Using a Hybrid CWT-SIFT Image Representation and a Lightweight Residual Attention Network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: El Boujnouni, Imane IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20754418 Numbering: – Type: volume Value: 16 – Type: issue Value: 1 Titles: – TitleFull: Diagnostics (2075-4418) Type: main |
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