FRE-GAN : Full-resolution efficient convolutional generative adversarial network for retinal vessel segmentation.
Saved in:
| Title: | FRE-GAN : Full-resolution efficient convolutional generative adversarial network for retinal vessel segmentation. |
|---|---|
| Authors: | Yu YF; Department of Statistics, Guangzhou University, Guangzhou, 510006, China. Electronic address: yuyufeng220@163.com., Yi H; Department of Statistics, Guangzhou University, Guangzhou, 510006, China. Electronic address: yihong3@mail2.sysu.edu.cn., Xu J; Zhuhai Clinical Medical College of Jinan University, 519050, China. Electronic address: xjianjun0828@163.com., Ding W; School of Information Science and Technology, Nantong University, Nantong, 226019, China; Faculty of Data Science, City University of Macau, Macau, 999078, China. Electronic address: ding.wp@ntu.edu.cn., Zhang C; School of Computer Science and Software, Zhaoqing University, Zhaoqing, 526061, China. Electronic address: chuanbinzhang@hotmail.com. |
| Source: | Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2026 Oct; Vol. 202, pp. 109044. Date of Electronic Publication: 2026 Apr 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42090871 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: FRE-GAN : Full-resolution efficient convolutional generative adversarial network for retinal vessel segmentation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Yu+YF%22">Yu YF</searchLink>; Department of Statistics, Guangzhou University, Guangzhou, 510006, China. Electronic address: yuyufeng220@163.com.<br /><searchLink fieldCode="AU" term="%22Yi+H%22">Yi H</searchLink>; Department of Statistics, Guangzhou University, Guangzhou, 510006, China. Electronic address: yihong3@mail2.sysu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Xu+J%22">Xu J</searchLink>; Zhuhai Clinical Medical College of Jinan University, 519050, China. Electronic address: xjianjun0828@163.com.<br /><searchLink fieldCode="AU" term="%22Ding+W%22">Ding W</searchLink>; School of Information Science and Technology, Nantong University, Nantong, 226019, China; Faculty of Data Science, City University of Macau, Macau, 999078, China. Electronic address: ding.wp@ntu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Zhang+C%22">Zhang C</searchLink>; School of Computer Science and Software, Zhaoqing University, Zhaoqing, 526061, China. Electronic address: chuanbinzhang@hotmail.com. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228805018%22">Neural networks : the official journal of the International Neural Network Society</searchLink> [Neural Netw] 2026 Oct; Vol. 202, pp. 109044. <i>Date of Electronic Publication: </i>2026 Apr 28. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Pergamon+Press%22">Pergamon Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8805018 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-2782 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208936080%22">08936080 </searchLink><i>NLM ISO Abbreviation: </i>Neural Netw <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42090871 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.neunet.2026.109044 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 109044 Titles: – TitleFull: FRE-GAN : Full-resolution efficient convolutional generative adversarial network for retinal vessel segmentation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yu YF – PersonEntity: Name: NameFull: Yi H – PersonEntity: Name: NameFull: Xu J – PersonEntity: Name: NameFull: Ding W – PersonEntity: Name: NameFull: Zhang C IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2026 Oct Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1879-2782 Numbering: – Type: volume Value: 202 Titles: – TitleFull: Neural networks : the official journal of the International Neural Network Society Type: main |
| ResultId | 1 |
