Ultrasound breast tumoral classification by a new adaptive pre-trained convolutive neural networks for computer-aided diagnosis.
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| Title: | Ultrasound breast tumoral classification by a new adaptive pre-trained convolutive neural networks for computer-aided diagnosis. |
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| Authors: | Reguieg, Fatma Zohra1, reguieg_fzohra@univ-blida.dz, Benblidia, Nadjia2 |
| Source: | Multimedia Tools & Applications; May2024, Vol. 83 Issue 15, p46249-46282, 34p |
| 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: 177013443 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=177013443 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-024-18484-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 34 StartPage: 46249 Titles: – TitleFull: Ultrasound breast tumoral classification by a new adaptive pre-trained convolutive neural networks for computer-aided diagnosis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Reguieg, Fatma Zohra – PersonEntity: Name: NameFull: Benblidia, Nadjia IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 83 – Type: issue Value: 15 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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