Self-improved LeNet and modified SegNet for Alzheimer's disease classification using MRI.
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| Title: | Self-improved LeNet and modified SegNet for Alzheimer's disease classification using MRI. |
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| Authors: | R S R; Artificial Intelligence and Machine Learning, New Horizon College of Engineering, Bangalore, Karnataka, India., G S G; Department of CSE, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India., S S; Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India., P A; Department of CSE, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India., K A; Department of Electronics and Communication Engineering, The National Institute of Engineering, Mysuru, Karnataka, India. |
| Source: | The International journal of neuroscience [Int J Neurosci] 2026 Jul; Vol. 136 (7), pp. 904-923. Date of Electronic Publication: 2026 Apr 01. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Informa Healthcare Country of Publication: England NLM ID: 0270707 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1563-5279 (Electronic) Linking ISSN: 00207454 NLM ISO Abbreviation: Int J Neurosci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41830915 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Self-improved LeNet and modified SegNet for Alzheimer's disease classification using MRI. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22R+S+R%22">R S R</searchLink>; Artificial Intelligence and Machine Learning, New Horizon College of Engineering, Bangalore, Karnataka, India.<br /><searchLink fieldCode="AU" term="%22G+S+G%22">G S G</searchLink>; Department of CSE, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India.<br /><searchLink fieldCode="AU" term="%22S+S%22">S S</searchLink>; Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India.<br /><searchLink fieldCode="AU" term="%22P+A%22">P A</searchLink>; Department of CSE, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India.<br /><searchLink fieldCode="AU" term="%22K+A%22">K A</searchLink>; Department of Electronics and Communication Engineering, The National Institute of Engineering, Mysuru, Karnataka, India. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220270707%22">The International journal of neuroscience</searchLink> [Int J Neurosci] 2026 Jul; Vol. 136 (7), pp. 904-923. <i>Date of Electronic Publication: </i>2026 Apr 01. – 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="%22Informa+Healthcare%22">Informa Healthcare </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0270707 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1563-5279 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200207454%22">00207454 </searchLink><i>NLM ISO Abbreviation: </i>Int J Neurosci <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41830915 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00207454.2026.2644529 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 904 Titles: – TitleFull: Self-improved LeNet and modified SegNet for Alzheimer's disease classification using MRI. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: R S R – PersonEntity: Name: NameFull: G S G – PersonEntity: Name: NameFull: S S – PersonEntity: Name: NameFull: P A – PersonEntity: Name: NameFull: K A IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2026 Jul Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1563-5279 Numbering: – Type: volume Value: 136 – Type: issue Value: 7 Titles: – TitleFull: The International journal of neuroscience Type: main |
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