U-Transformer: A Hybrid Convolutional Neural Network–Transformer Framework for Denoising Medical Images Across Imaging Modalities.
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| Title: | U-Transformer: A Hybrid Convolutional Neural Network–Transformer Framework for Denoising Medical Images Across Imaging Modalities. |
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| Authors: | Neamah, Rusul Mohammed1 (AUTHOR) wsci.rusul.moh@uobabylon.edu.iq, Ayoob, Noor Kadhim1 (AUTHOR), Abbood, Elaf Ali1 (AUTHOR), Mohammed, Nada Fadhil1 (AUTHOR) |
| Source: | Ingénierie des Systèmes d'Information. May2026, Vol. 31 Issue 5, p1473-1483. 11p. |
| Database: | Business Source Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=195104011 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.18280/isi.310507 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1473 Titles: – TitleFull: U-Transformer: A Hybrid Convolutional Neural Network–Transformer Framework for Denoising Medical Images Across Imaging Modalities. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Neamah, Rusul Mohammed – PersonEntity: Name: NameFull: Ayoob, Noor Kadhim – PersonEntity: Name: NameFull: Abbood, Elaf Ali – PersonEntity: Name: NameFull: Mohammed, Nada Fadhil IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 16331311 Numbering: – Type: volume Value: 31 – Type: issue Value: 5 Titles: – TitleFull: Ingénierie des Systèmes d'Information Type: main |
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