Multimodal deep learning model for prediction of breast cancer recurrence risk and correlation with oncotype DX.
| Publicado en: | Breast Cancer Research Vol. 27; no. 1; pp. 1 - 16 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
10/14/2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188650140&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188650140 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14655411 8UYJ jtl: Breast Cancer Research issn: 14655411 maglogo: N pubinfo: dt: 10/14/2025 vid: 27 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 188650140 10.1186/s13058-025-02129-z 188650140 ppf: 1 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Multimodal deep learning model for prediction of breast cancer recurrence risk and correlation with oncotype DX. aug: au: Zhang, Ruixin Wang, Kaiting Wang, Shiwei Wang, Chunjie Cao, Tingting Ci, Ce Xu, Maosheng Ge, Min affil: https://ror.org/0491qs096 Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), 54 Youdian Road, Hangzhou, Zhejiang Province, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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