A Hybrid Particle Swarm–Genetic Algorithm Framework for U-Net Hyperparameter Optimization in High-Precision Brain Tumor MRI Segmentation.
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| Title: | A Hybrid Particle Swarm–Genetic Algorithm Framework for U-Net Hyperparameter Optimization in High-Precision Brain Tumor MRI Segmentation. |
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| Authors: | Saifullah, Shoffan1,2, Dreżewski, Rafał1,2,3, Yudhana, Anton3,4, Tanone, Radius4,5, Suryotomo, Andiko Putro2,5 |
| Source: | Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 6, p3041, 46p |
| 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: 192636923 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=192636923 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16063041 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 46 StartPage: 3041 Titles: – TitleFull: A Hybrid Particle Swarm–Genetic Algorithm Framework for U-Net Hyperparameter Optimization in High-Precision Brain Tumor MRI Segmentation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Saifullah, Shoffan – PersonEntity: Name: NameFull: Dreżewski, Rafał – PersonEntity: Name: NameFull: Yudhana, Anton – PersonEntity: Name: NameFull: Tanone, Radius – PersonEntity: Name: NameFull: Suryotomo, Andiko Putro IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 6 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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