Predicting Nottingham grade in breast cancer digital pathology using a foundation model.
| Publicado en: | Breast Cancer Research Vol. 27; no. 1; pp. 1 - 15 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
4/19/2025
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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=184599389&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184599389 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14655411 8UYJ jtl: Breast Cancer Research issn: 14655411 maglogo: N pubinfo: dt: 4/19/2025 vid: 27 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 184599389 10.1186/s13058-025-02019-4 184599389 ppf: 1 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Predicting Nottingham grade in breast cancer digital pathology using a foundation model. aug: au: Kim, Jun Seo Lee, Jeong Hoon Yeon, Yousung An, Do-Yeon Kim, Seok Jun Noh, Myung-Giun Lee, Suehyun affil: https://ror.org/03ryywt80 Department of Computer Engineering, Gachon University, 13120, Seongnam, South Korea sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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