Accurate and Rapid Detection of Peritoneal Metastasis from Gastric Cancer by AI‐Assisted Stimulated Raman Molecular Cytology.
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| Title: | Accurate and Rapid Detection of Peritoneal Metastasis from Gastric Cancer by AI‐Assisted Stimulated Raman Molecular Cytology. |
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| Authors: | Chen, Xun1,2 (AUTHOR), Wu, Zhouqiao3 (AUTHOR), He, Yexuan1 (AUTHOR), Hao, Zhe1 (AUTHOR), Wang, Qi3 (AUTHOR), Zhou, Keji1 (AUTHOR), Zhou, Wanhui1 (AUTHOR), Wang, Pu1 (AUTHOR), Shan, Fei3 (AUTHOR), Li, Zhongwu4 (AUTHOR), Ji, Jiafu3 (AUTHOR), Fan, Yubo1,2 (AUTHOR) yubofan@buaa.edu.cn, Li, Ziyu3 (AUTHOR) ziyu_li@hsc.pku.edu.cn, Yue, Shuhua1 (AUTHOR) yue_shuhua@buaa.edu.cn |
| Source: | Advanced Science. 7/27/2023, Vol. 10 Issue 21, p1-13. 13p. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 168591486 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=168591486 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/advs.202300961 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Titles: – TitleFull: Accurate and Rapid Detection of Peritoneal Metastasis from Gastric Cancer by AI‐Assisted Stimulated Raman Molecular Cytology. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen, Xun – PersonEntity: Name: NameFull: Wu, Zhouqiao – PersonEntity: Name: NameFull: He, Yexuan – PersonEntity: Name: NameFull: Hao, Zhe – PersonEntity: Name: NameFull: Wang, Qi – PersonEntity: Name: NameFull: Zhou, Keji – PersonEntity: Name: NameFull: Zhou, Wanhui – PersonEntity: Name: NameFull: Wang, Pu – PersonEntity: Name: NameFull: Shan, Fei – PersonEntity: Name: NameFull: Li, Zhongwu – PersonEntity: Name: NameFull: Ji, Jiafu – PersonEntity: Name: NameFull: Fan, Yubo – PersonEntity: Name: NameFull: Li, Ziyu – PersonEntity: Name: NameFull: Yue, Shuhua IsPartOfRelationships: – BibEntity: Dates: – D: 27 M: 07 Text: 7/27/2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 21983844 Numbering: – Type: volume Value: 10 – Type: issue Value: 21 Titles: – TitleFull: Advanced Science Type: main |
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