Optimizing the Classification of Brain Tumors Using Ensemble Learning and Gradient-weighted Class Activation Mapping on Multi-section Magnetic Resonance Imaging Images.
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| Title: | Optimizing the Classification of Brain Tumors Using Ensemble Learning and Gradient-weighted Class Activation Mapping on Multi-section Magnetic Resonance Imaging Images. |
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| Authors: | Diyasa, I. Gede Susrama Mas1, igsusrama.if@upnjatim.ac.id, Alhamda, Denisa Septalian2, Sukri, Hanifudin3, Rusdi, Muhammad Salsabeela4, Dewi, Deshinta Arrova5, Sastrian, Hana Titania2, Humairah, Sayyidah6, Kraugusteeliana, Kraugusteeliana7 |
| Source: | International Journal of Technology; 2026, Vol. 17 Issue 2, p674-691, 18p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 192862471 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=aci&AN=192862471 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.14716/ijtech.v17i2.8360 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 674 Titles: – TitleFull: Optimizing the Classification of Brain Tumors Using Ensemble Learning and Gradient-weighted Class Activation Mapping on Multi-section Magnetic Resonance Imaging Images. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Diyasa, I. Gede Susrama Mas – PersonEntity: Name: NameFull: Alhamda, Denisa Septalian – PersonEntity: Name: NameFull: Sukri, Hanifudin – PersonEntity: Name: NameFull: Rusdi, Muhammad Salsabeela – PersonEntity: Name: NameFull: Dewi, Deshinta Arrova – PersonEntity: Name: NameFull: Sastrian, Hana Titania – PersonEntity: Name: NameFull: Humairah, Sayyidah – PersonEntity: Name: NameFull: Kraugusteeliana, Kraugusteeliana IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20869614 Numbering: – Type: volume Value: 17 – Type: issue Value: 2 Titles: – TitleFull: International Journal of Technology Type: main |
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