A Graph-Based Method for Detecting Rare Events: Identifying Pathologic Cells.
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| Title: | A Graph-Based Method for Detecting Rare Events: Identifying Pathologic Cells. |
|---|---|
| Authors: | Szekely, Eniko1, Sallaberry, Arnaud2, Zaidi, Faraz3, Poncelet, Pascal4 |
| Source: | IEEE Computer Graphics & Applications; May2015, Vol. 35 Issue 3, p65-73, 9p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 102874551 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=102874551 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/MCG.2014.78 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 65 Titles: – TitleFull: A Graph-Based Method for Detecting Rare Events: Identifying Pathologic Cells. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Szekely, Eniko – PersonEntity: Name: NameFull: Sallaberry, Arnaud – PersonEntity: Name: NameFull: Zaidi, Faraz – PersonEntity: Name: NameFull: Poncelet, Pascal IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 02721716 Numbering: – Type: volume Value: 35 – Type: issue Value: 3 Titles: – TitleFull: IEEE Computer Graphics & Applications Type: main |
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