Cross-validation of a semantic segmentation network for natural history collection specimens.
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| Title: | Cross-validation of a semantic segmentation network for natural history collection specimens. |
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| Authors: | de la Hidalga, Abraham Nieva1, nievadelahidalgaa@cardiff.ac.uk, Rosin, Paul L.2, Sun, Xianfang2, Livermore, Laurence3, Durrant, James4, Turner, James5, Dillen, Mathias6, Musson, Alicia7, Phillips, Sarah7, Groom, Quentin6, Hardisty, Alex2 |
| Source: | Machine Vision & Applications; May2022, Vol. 33 Issue 3, p1-31, 31p |
| 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: 155889183 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=155889183 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00138-022-01276-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: 1 Titles: – TitleFull: Cross-validation of a semantic segmentation network for natural history collection specimens. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: de la Hidalga, Abraham Nieva – PersonEntity: Name: NameFull: Rosin, Paul L. – PersonEntity: Name: NameFull: Sun, Xianfang – PersonEntity: Name: NameFull: Livermore, Laurence – PersonEntity: Name: NameFull: Durrant, James – PersonEntity: Name: NameFull: Turner, James – PersonEntity: Name: NameFull: Dillen, Mathias – PersonEntity: Name: NameFull: Musson, Alicia – PersonEntity: Name: NameFull: Phillips, Sarah – PersonEntity: Name: NameFull: Groom, Quentin – PersonEntity: Name: NameFull: Hardisty, Alex IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 09328092 Numbering: – Type: volume Value: 33 – Type: issue Value: 3 Titles: – TitleFull: Machine Vision & Applications Type: main |
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