Image super-resolution using progressive generative adversarial networks for medical image analysis.
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| Title: | Image super-resolution using progressive generative adversarial networks for medical image analysis. |
|---|---|
| Authors: | Mahapatra, Dwarikanath1, Bozorgtabar, Behzad2, Garnavi, Rahil1 |
| Source: | Computerized Medical Imaging & Graphics; Jan2019, Vol. 71, p30-39, 10p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 134088379 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=134088379 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.compmedimag.2018.10.005 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 30 Titles: – TitleFull: Image super-resolution using progressive generative adversarial networks for medical image analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mahapatra, Dwarikanath – PersonEntity: Name: NameFull: Bozorgtabar, Behzad – PersonEntity: Name: NameFull: Garnavi, Rahil IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 08956111 Numbering: – Type: volume Value: 71 Titles: – TitleFull: Computerized Medical Imaging & Graphics Type: main |
| ResultId | 1 |