Transfer learning; powerful and fast segmentation and classification prostate cancer from MRI scans, in the development set.
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| Title: | Transfer learning; powerful and fast segmentation and classification prostate cancer from MRI scans, in the development set. |
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| Authors: | Mashak, Neda Pirzad1, Akbarizadeh, Gholamreza2, g.akbari@scu.ac.ir, Farshidi, Ebrahim2 |
| Source: | Journal of Intelligent & Fuzzy Systems; 2023, Vol. 45 Issue 2, p2005-2017, 13p |
| 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: 170718998 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/JIFS-224274 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 2005 Titles: – TitleFull: Transfer learning; powerful and fast segmentation and classification prostate cancer from MRI scans, in the development set. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mashak, Neda Pirzad – PersonEntity: Name: NameFull: Akbarizadeh, Gholamreza – PersonEntity: Name: NameFull: Farshidi, Ebrahim IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: 2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 10641246 Numbering: – Type: volume Value: 45 – Type: issue Value: 2 Titles: – TitleFull: Journal of Intelligent & Fuzzy Systems Type: main |
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