Correlation Study Between Neoadjuvant Chemotherapy Response and Long-Term Prognosis in Breast Cancer Based on Deep Learning Models.
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| Title: | Correlation Study Between Neoadjuvant Chemotherapy Response and Long-Term Prognosis in Breast Cancer Based on Deep Learning Models. |
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| Authors: | Wang, Ke1 (AUTHOR), Luo, Yikai2 (AUTHOR), Zhang, Peng1,2 (AUTHOR), Yang, Bing1,2 (AUTHOR), Tao, Yubo2 (AUTHOR) taoyubo@cad.zju.edu.cn |
| Source: | Diagnostics (2075-4418). Nov2025, Vol. 15 Issue 21, p2763. 12p. |
| 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: 189601796 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=189601796 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/diagnostics15212763 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 2763 Titles: – TitleFull: Correlation Study Between Neoadjuvant Chemotherapy Response and Long-Term Prognosis in Breast Cancer Based on Deep Learning Models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Ke – PersonEntity: Name: NameFull: Luo, Yikai – PersonEntity: Name: NameFull: Zhang, Peng – PersonEntity: Name: NameFull: Yang, Bing – PersonEntity: Name: NameFull: Tao, Yubo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20754418 Numbering: – Type: volume Value: 15 – Type: issue Value: 21 Titles: – TitleFull: Diagnostics (2075-4418) Type: main |
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