Retinal Image-Based Prediction of Chronic Kidney Disease Using a Hybrid Multimodal Deep Learning Framework.
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| Title: | Retinal Image-Based Prediction of Chronic Kidney Disease Using a Hybrid Multimodal Deep Learning Framework. |
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| Authors: | Chapa, Kalyani1,2 (AUTHOR) kchapa@gitam.in, Ravi, Bhramaramba1 (AUTHOR) |
| Source: | Mathematical Modelling of Engineering Problems. Mar2026, Vol. 13 Issue 3, p555-564. 10p. |
| Database: | Mathematics Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: msf DbLabel: Mathematics Source An: 193708629 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Retinal Image-Based Prediction of Chronic Kidney Disease Using a Hybrid Multimodal Deep Learning Framework. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chapa%2C+Kalyani%22">Chapa, Kalyani</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> kchapa@gitam.in</i><br /><searchLink fieldCode="AR" term="%22Ravi%2C+Bhramaramba%22">Ravi, Bhramaramba</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Mathematical+Modelling+of+Engineering+Problems%22">Mathematical Modelling of Engineering Problems</searchLink>. Mar2026, Vol. 13 Issue 3, p555-564. 10p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=193708629 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.18280/mmep.130310 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 555 Titles: – TitleFull: Retinal Image-Based Prediction of Chronic Kidney Disease Using a Hybrid Multimodal Deep Learning Framework. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chapa, Kalyani – PersonEntity: Name: NameFull: Ravi, Bhramaramba IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 23690739 Numbering: – Type: volume Value: 13 – Type: issue Value: 3 Titles: – TitleFull: Mathematical Modelling of Engineering Problems Type: main |
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