A secure two-qubit quantum model for segmentation and classification of brain tumor using MRI images based on blockchain.
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| Title: | A secure two-qubit quantum model for segmentation and classification of brain tumor using MRI images based on blockchain. |
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| Authors: | Amin, Javaria1, Javeria.amin@uow.edu.pk, Anjum, Muhammad Almas2, Gul, Nadia3, Sharif, Muhammad4 |
| Source: | Neural Computing & Applications; Oct2022, Vol. 34 Issue 20, p17315-17328, 14p |
| 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: 159301576 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00521-022-07388-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 17315 Titles: – TitleFull: A secure two-qubit quantum model for segmentation and classification of brain tumor using MRI images based on blockchain. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Amin, Javaria – PersonEntity: Name: NameFull: Anjum, Muhammad Almas – PersonEntity: Name: NameFull: Gul, Nadia – PersonEntity: Name: NameFull: Sharif, Muhammad IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 10 Text: Oct2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 09410643 Numbering: – Type: volume Value: 34 – Type: issue Value: 20 Titles: – TitleFull: Neural Computing & Applications Type: main |
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