Deep Learning Architecture with Attention-Enhanced U-Net for Analyzing Cell Nuclei in H&E-Stained Tissue Slides.
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| Title: | Deep Learning Architecture with Attention-Enhanced U-Net for Analyzing Cell Nuclei in H&E-Stained Tissue Slides. |
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| Authors: | Hayat, Cynthia1 cynthia.hayat@ukrida.ac.id, Soenandi, Iwan Aang2 iwan.as@ukrida.ac.id |
| Source: | Journal of Information Systems Engineering & Business Intelligence. Feb2026, Vol. 12 Issue 1, p72-83. 12p. |
| Database: | Business Source Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep Learning Architecture with Attention-Enhanced U-Net for Analyzing Cell Nuclei in H&E-Stained Tissue Slides. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hayat%2C+Cynthia%22">Hayat, Cynthia</searchLink><relatesTo>1</relatesTo><i> cynthia.hayat@ukrida.ac.id</i><br /><searchLink fieldCode="AR" term="%22Soenandi%2C+Iwan+Aang%22">Soenandi, Iwan Aang</searchLink><relatesTo>2</relatesTo><i> iwan.as@ukrida.ac.id</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Information+Systems+Engineering+%26+Business+Intelligence%22">Journal of Information Systems Engineering & Business Intelligence</searchLink>. Feb2026, Vol. 12 Issue 1, p72-83. 12p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=192135909 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.20473/jisebi.12.1.72-83 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 72 Titles: – TitleFull: Deep Learning Architecture with Attention-Enhanced U-Net for Analyzing Cell Nuclei in H&E-Stained Tissue Slides. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hayat, Cynthia – PersonEntity: Name: NameFull: Soenandi, Iwan Aang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 25986333 Numbering: – Type: volume Value: 12 – Type: issue Value: 1 Titles: – TitleFull: Journal of Information Systems Engineering & Business Intelligence Type: main |
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