Multi-task deep learning framework combining CNN: vision transformers and PSO for accurate diabetic retinopathy diagnosis and lesion localization.
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| Title: | Multi-task deep learning framework combining CNN: vision transformers and PSO for accurate diabetic retinopathy diagnosis and lesion localization. |
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| Authors: | Vijayalakshmi S; Department of Electronics and Communication Engineering, Sona College of Technology, 636005, Salem, India. vijisaumiya@gmail.com., Manoharan JS; Department of Biomedical Engineering, Jerusalem College of Engineering, Chennai, 600100, India., Nivetha B; Department of Biomedical Engineering, Jerusalem College of Engineering, Chennai, 600100, India., Sathiya A; Department Electronics & Communication Engineering, M.Kumarasamy College of Engineering, Thalavapalayam, Karur, 639113, India. |
| Source: | Scientific reports [Sci Rep] 2025 Oct 08; Vol. 15 (1), pp. 35076. Date of Electronic Publication: 2025 Oct 08. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41062523 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Multi-task deep learning framework combining CNN: vision transformers and PSO for accurate diabetic retinopathy diagnosis and lesion localization. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Vijayalakshmi+S%22">Vijayalakshmi S</searchLink>; Department of Electronics and Communication Engineering, Sona College of Technology, 636005, Salem, India. vijisaumiya@gmail.com.<br /><searchLink fieldCode="AU" term="%22Manoharan+JS%22">Manoharan JS</searchLink>; Department of Biomedical Engineering, Jerusalem College of Engineering, Chennai, 600100, India.<br /><searchLink fieldCode="AU" term="%22Nivetha+B%22">Nivetha B</searchLink>; Department of Biomedical Engineering, Jerusalem College of Engineering, Chennai, 600100, India.<br /><searchLink fieldCode="AU" term="%22Sathiya+A%22">Sathiya A</searchLink>; Department Electronics & Communication Engineering, M.Kumarasamy College of Engineering, Thalavapalayam, Karur, 639113, India. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2025 Oct 08; Vol. 15 (1), pp. 35076. <i>Date of Electronic Publication: </i>2025 Oct 08. – 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="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41062523 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-025-18742-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 35076 Titles: – TitleFull: Multi-task deep learning framework combining CNN: vision transformers and PSO for accurate diabetic retinopathy diagnosis and lesion localization. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Vijayalakshmi S – PersonEntity: Name: NameFull: Manoharan JS – PersonEntity: Name: NameFull: Nivetha B – PersonEntity: Name: NameFull: Sathiya A IsPartOfRelationships: – BibEntity: Dates: – D: 08 M: 10 Text: 2025 Oct 08 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
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