FabNet: A Features Agglomeration-Based Convolutional Neural Network for Multiscale Breast Cancer Histopathology Images Classification.
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| Title: | FabNet: A Features Agglomeration-Based Convolutional Neural Network for Multiscale Breast Cancer Histopathology Images Classification. |
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| Authors: | Amin, Muhammad Sadiq1 (AUTHOR), Ahn, Hyunsik1 (AUTHOR) hsahn@tu.ac.kr |
| Source: | Cancers. Feb2023, Vol. 15 Issue 4, p1013. 20p. |
| 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: 162087476 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: FabNet: A Features Agglomeration-Based Convolutional Neural Network for Multiscale Breast Cancer Histopathology Images Classification. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Amin%2C+Muhammad+Sadiq%22">Amin, Muhammad Sadiq</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ahn%2C+Hyunsik%22">Ahn, Hyunsik</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hsahn@tu.ac.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Cancers%22">Cancers</searchLink>. Feb2023, Vol. 15 Issue 4, p1013. 20p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=162087476 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/cancers15041013 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1013 Titles: – TitleFull: FabNet: A Features Agglomeration-Based Convolutional Neural Network for Multiscale Breast Cancer Histopathology Images Classification. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Amin, Muhammad Sadiq – PersonEntity: Name: NameFull: Ahn, Hyunsik IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 02 Text: Feb2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 20726694 Numbering: – Type: volume Value: 15 – Type: issue Value: 4 Titles: – TitleFull: Cancers Type: main |
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