Novel hybrid CNN with Bi-LSTM multi-focus image fusion method based on modified tetrolet transform in MRI and CT images.
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| Title: | Novel hybrid CNN with Bi-LSTM multi-focus image fusion method based on modified tetrolet transform in MRI and CT images. |
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| Authors: | Nisha, A.S.1, nishaas2022@gmail.com, Siva Rani, T.S.2 |
| Source: | Journal of Intelligent & Fuzzy Systems; 2023, Vol. 45 Issue 4, p6767-6783, 17p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 173420122 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Novel hybrid CNN with Bi-LSTM multi-focus image fusion method based on modified tetrolet transform in MRI and CT images. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Nisha%2C+A%2ES%2E%22">Nisha, A.S.</searchLink><relatesTo>1</relatesTo>, <i>nishaas2022@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Siva+Rani%2C+T%2ES%2E%22">Siva Rani, T.S.</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+%26+Fuzzy+Systems%22">Journal of Intelligent & Fuzzy Systems</searchLink>; 2023, Vol. 45 Issue 4, p6767-6783, 17p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=173420122 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/JIFS-224439 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 6767 Titles: – TitleFull: Novel hybrid CNN with Bi-LSTM multi-focus image fusion method based on modified tetrolet transform in MRI and CT images. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nisha, A.S. – PersonEntity: Name: NameFull: Siva Rani, T.S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 10641246 Numbering: – Type: volume Value: 45 – Type: issue Value: 4 Titles: – TitleFull: Journal of Intelligent & Fuzzy Systems Type: main |
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