Deep learning diagnostics for bladder tumor identification and grade prediction using RGB method.
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| Title: | Deep learning diagnostics for bladder tumor identification and grade prediction using RGB method. |
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| Authors: | Yoo, Jeong Woo1 (AUTHOR), Koo, Kyo Chul1 (AUTHOR), Chung, Byung Ha1 (AUTHOR), Baek, Sang Yeop2 (AUTHOR), Lee, Su Jin2 (AUTHOR), Park, Kyu Hong2 (AUTHOR), Lee, Kwang Suk1 (AUTHOR) calmenow@yuhs.ac |
| Source: | Scientific Reports. 10/21/2022, Vol. 12 Issue 1, p1-8. 8p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 159839100 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=asn&AN=159839100 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-022-22797-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 1 Titles: – TitleFull: Deep learning diagnostics for bladder tumor identification and grade prediction using RGB method. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yoo, Jeong Woo – PersonEntity: Name: NameFull: Koo, Kyo Chul – PersonEntity: Name: NameFull: Chung, Byung Ha – PersonEntity: Name: NameFull: Baek, Sang Yeop – PersonEntity: Name: NameFull: Lee, Su Jin – PersonEntity: Name: NameFull: Park, Kyu Hong – PersonEntity: Name: NameFull: Lee, Kwang Suk IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 10 Text: 10/21/2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 12 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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