Predicting the axillary lymph node tumor burden in breast cancer patients using ultrasonic radiomics nomogram model.
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| Title: | Predicting the axillary lymph node tumor burden in breast cancer patients using ultrasonic radiomics nomogram model. |
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| Authors: | Tang, Pan1 (AUTHOR), Zhang, Qi1 (AUTHOR), Meng, Ling-cui1 (AUTHOR), Chen, Miao1 (AUTHOR), He, Sai-Feng1 (AUTHOR) venant@126.com, Zhang, Jian-Xing1 (AUTHOR) 31304730@qq.com |
| Source: | PLoS ONE. 10/7/2025, Vol. 20 Issue 10, p1-15. 15p. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 188503394 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=188503394 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0333172 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1 Titles: – TitleFull: Predicting the axillary lymph node tumor burden in breast cancer patients using ultrasonic radiomics nomogram model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tang, Pan – PersonEntity: Name: NameFull: Zhang, Qi – PersonEntity: Name: NameFull: Meng, Ling-cui – PersonEntity: Name: NameFull: Chen, Miao – PersonEntity: Name: NameFull: He, Sai-Feng – PersonEntity: Name: NameFull: Zhang, Jian-Xing IsPartOfRelationships: – BibEntity: Dates: – D: 07 M: 10 Text: 10/7/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 20 – Type: issue Value: 10 Titles: – TitleFull: PLoS ONE Type: main |
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