Retinal OCT image classification based on MGR-GAN.
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| Title: | Retinal OCT image classification based on MGR-GAN. |
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| Authors: | Peng, Kun1, 18583875307@163.com, Huang, Dan1, Danhuang81@gmail.com, Chen, Yurong1, Yrc0313@163.com |
| Source: | Medical & Biological Engineering & Computing; Jun2025, Vol. 63 Issue 6, p1749-1763, 15p |
| 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: 185423475 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Retinal OCT image classification based on MGR-GAN. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Peng%2C+Kun%22">Peng, Kun</searchLink><relatesTo>1</relatesTo>, <i>18583875307@163.com</i><br /><searchLink fieldCode="AU" term="%22Huang%2C+Dan%22">Huang, Dan</searchLink><relatesTo>1</relatesTo>, <i>Danhuang81@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Chen%2C+Yurong%22">Chen, Yurong</searchLink><relatesTo>1</relatesTo>, <i>Yrc0313@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Medical+%26+Biological+Engineering+%26+Computing%22">Medical & Biological Engineering & Computing</searchLink>; Jun2025, Vol. 63 Issue 6, p1749-1763, 15p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185423475 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11517-025-03286-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1749 Titles: – TitleFull: Retinal OCT image classification based on MGR-GAN. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Peng, Kun – PersonEntity: Name: NameFull: Huang, Dan – PersonEntity: Name: NameFull: Chen, Yurong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 01400118 Numbering: – Type: volume Value: 63 – Type: issue Value: 6 Titles: – TitleFull: Medical & Biological Engineering & Computing Type: main |
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