A radiomics model based on magnetic resonance imaging to predict cytokeratin 7/19 expression and liver fluke infection of hepatocellular carcinoma.
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| Title: | A radiomics model based on magnetic resonance imaging to predict cytokeratin 7/19 expression and liver fluke infection of hepatocellular carcinoma. |
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| Authors: | Liu, Jun-Qi1,2,3 (AUTHOR), Wang, Jing1,2,3 (AUTHOR), Huang, Xia-Ling4 (AUTHOR), Liang, Tian-Yi1,2,3 (AUTHOR), Zhou, Xin1,2,3 (AUTHOR), Mo, Shu-Tian1,2,3 (AUTHOR), Xie, Hai-Xiang1,2,3 (AUTHOR), Yang, Ke-Jian1,2,3 (AUTHOR), Zhu, Guang-Zhi1,2,3 (AUTHOR), Su, Hao1,2,3 (AUTHOR), Liao, Xi-Wen1,2,3 (AUTHOR), Long, Li-Ling4 (AUTHOR), Peng, Tao1,2,3 (AUTHOR) pengtao@gxmu.edu.cn |
| Source: | Scientific Reports. 10/16/2023, Vol. 13 Issue 1, p1-16. 16p. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 173034541 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=173034541 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-023-44773-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1 Titles: – TitleFull: A radiomics model based on magnetic resonance imaging to predict cytokeratin 7/19 expression and liver fluke infection of hepatocellular carcinoma. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu, Jun-Qi – PersonEntity: Name: NameFull: Wang, Jing – PersonEntity: Name: NameFull: Huang, Xia-Ling – PersonEntity: Name: NameFull: Liang, Tian-Yi – PersonEntity: Name: NameFull: Zhou, Xin – PersonEntity: Name: NameFull: Mo, Shu-Tian – PersonEntity: Name: NameFull: Xie, Hai-Xiang – PersonEntity: Name: NameFull: Yang, Ke-Jian – PersonEntity: Name: NameFull: Zhu, Guang-Zhi – PersonEntity: Name: NameFull: Su, Hao – PersonEntity: Name: NameFull: Liao, Xi-Wen – PersonEntity: Name: NameFull: Long, Li-Ling – PersonEntity: Name: NameFull: Peng, Tao IsPartOfRelationships: – BibEntity: Dates: – D: 16 M: 10 Text: 10/16/2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 13 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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