EAN: enhanced AlexNet deep learning model to detect brain tumor using magnetic resonance images.
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| Title: | EAN: enhanced AlexNet deep learning model to detect brain tumor using magnetic resonance images. |
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| Authors: | Azhagiri, M.1, azhagirm@srmist.edu.in, Rajesh, P.2 |
| Source: | Multimedia Tools & Applications; Jul2024, Vol. 83 Issue 25, p66925-66941, 17p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 178339486 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: EAN: enhanced AlexNet deep learning model to detect brain tumor using magnetic resonance images. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Azhagiri%2C+M%2E%22">Azhagiri, M.</searchLink><relatesTo>1</relatesTo>, <i>azhagirm@srmist.edu.in</i><br /><searchLink fieldCode="AU" term="%22Rajesh%2C+P%2E%22">Rajesh, P.</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Jul2024, Vol. 83 Issue 25, p66925-66941, 17p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=178339486 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-024-18143-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 66925 Titles: – TitleFull: EAN: enhanced AlexNet deep learning model to detect brain tumor using magnetic resonance images. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Azhagiri, M. – PersonEntity: Name: NameFull: Rajesh, P. IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 07 Text: Jul2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 83 – Type: issue Value: 25 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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