MRI-based detection of multiple sclerosis using an optimized attention-based deep learning framework.
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| Title: | MRI-based detection of multiple sclerosis using an optimized attention-based deep learning framework. |
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| Authors: | Palaniappan R; Department of Computer Science and Engineering, Madanapalle Institute of Technology & Science, Andhra Pradesh, India., Delshi Howsalya Devi R; Department of Artificial Intelligence and Data Science, Karpaga Vinayaga College of Engineering and Technology, Tamil Nadu, India., Mathankumar M; School of Electrical and Electronics Engineering, SRM Institute of Science and Technology Tiruchirappalli, India., Ilangovan K; Department of Computer Science and Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India. |
| Source: | Neurological research [Neurol Res] 2026 Feb; Vol. 48 (2), pp. 162-177. Date of Electronic Publication: 2025 Jul 05. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Taylor & Francis Country of Publication: England NLM ID: 7905298 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1743-1328 (Electronic) Linking ISSN: 01616412 NLM ISO Abbreviation: Neurol Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40616778 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: MRI-based detection of multiple sclerosis using an optimized attention-based deep learning framework. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Palaniappan+R%22">Palaniappan R</searchLink>; Department of Computer Science and Engineering, Madanapalle Institute of Technology & Science, Andhra Pradesh, India.<br /><searchLink fieldCode="AU" term="%22Delshi+Howsalya+Devi+R%22">Delshi Howsalya Devi R</searchLink>; Department of Artificial Intelligence and Data Science, Karpaga Vinayaga College of Engineering and Technology, Tamil Nadu, India.<br /><searchLink fieldCode="AU" term="%22Mathankumar+M%22">Mathankumar M</searchLink>; School of Electrical and Electronics Engineering, SRM Institute of Science and Technology Tiruchirappalli, India.<br /><searchLink fieldCode="AU" term="%22Ilangovan+K%22">Ilangovan K</searchLink>; Department of Computer Science and Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227905298%22">Neurological research</searchLink> [Neurol Res] 2026 Feb; Vol. 48 (2), pp. 162-177. <i>Date of Electronic Publication: </i>2025 Jul 05. – 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="%22Taylor+%26+Francis%22">Taylor & Francis </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>7905298 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1743-1328 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201616412%22">01616412 </searchLink><i>NLM ISO Abbreviation: </i>Neurol Res <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40616778 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/01616412.2025.2527899 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 162 Titles: – TitleFull: MRI-based detection of multiple sclerosis using an optimized attention-based deep learning framework. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Palaniappan R – PersonEntity: Name: NameFull: Delshi Howsalya Devi R – PersonEntity: Name: NameFull: Mathankumar M – PersonEntity: Name: NameFull: Ilangovan K IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: 2026 Feb Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1743-1328 Numbering: – Type: volume Value: 48 – Type: issue Value: 2 Titles: – TitleFull: Neurological research Type: main |
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