Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer.
| Publicado en: | Breast Cancer Research Vol. 26; pp. 1 - 14 |
|---|---|
| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
1/29/2024
|
| 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=175453227&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 175453227 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14655411 8UYJ jtl: Breast Cancer Research issn: 14655411 maglogo: N pubinfo: dt: 1/29/2024 vid: 26 pid: 24147 pub: BioMed Central artinfo: ui: 175453227 10.1186/s13058-024-01770-4 175453227 ppf: 1 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer. aug: au: Sharma, Abhinav Weitz, Philippe Wang, Yinxi Liu, Bojing Vallon-Christersson, Johan Hartman, Johan Rantalainen, Mattias affil: https://ror.org/056d84691 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|