3D reconstruction based novel methods are more effective than traditional clinical assessment in breast cancer axillary lymph node metastasis prediction.
Saved in:
| Title: | 3D reconstruction based novel methods are more effective than traditional clinical assessment in breast cancer axillary lymph node metastasis prediction. |
|---|---|
| Authors: | Qu, Limeng1 (AUTHOR), Chen, Qitong1 (AUTHOR), Luo, Na1,2 (AUTHOR), Zhao, Piao3 (AUTHOR), Zou, Qiongyan1 (AUTHOR), Mei, Xilong4 (AUTHOR), Liu, Ziru1 (AUTHOR) liuziru@csu.edu.cn, Yi, Wenjun1 (AUTHOR) yiwenjun@csu.edu.cn |
| Source: | Scientific Reports. 7/20/2022, Vol. 12 Issue 1, p1-11. 11p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: asn DbLabel: Academic Search Ultimate An: 158080964 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: 3D reconstruction based novel methods are more effective than traditional clinical assessment in breast cancer axillary lymph node metastasis prediction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Qu%2C+Limeng%22">Qu, Limeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Qitong%22">Chen, Qitong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Luo%2C+Na%22">Luo, Na</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Piao%22">Zhao, Piao</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zou%2C+Qiongyan%22">Zou, Qiongyan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mei%2C+Xilong%22">Mei, Xilong</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Ziru%22">Liu, Ziru</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> liuziru@csu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yi%2C+Wenjun%22">Yi, Wenjun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yiwenjun@csu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 7/20/2022, Vol. 12 Issue 1, p1-11. 11p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=158080964 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-022-16380-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1 Titles: – TitleFull: 3D reconstruction based novel methods are more effective than traditional clinical assessment in breast cancer axillary lymph node metastasis prediction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Qu, Limeng – PersonEntity: Name: NameFull: Chen, Qitong – PersonEntity: Name: NameFull: Luo, Na – PersonEntity: Name: NameFull: Zhao, Piao – PersonEntity: Name: NameFull: Zou, Qiongyan – PersonEntity: Name: NameFull: Mei, Xilong – PersonEntity: Name: NameFull: Liu, Ziru – PersonEntity: Name: NameFull: Yi, Wenjun IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 07 Text: 7/20/2022 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 |
| ResultId | 1 |