Deep learning applications in breast cancer histopathological imaging: diagnosis, treatment, and prognosis.
| Publicado en: | Breast Cancer Research Vol. 26; no. 1; pp. 1 - 18 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
9/20/2024
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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=179789661&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 179789661 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14655411 8UYJ jtl: Breast Cancer Research issn: 14655411 maglogo: N pubinfo: dt: 9/20/2024 vid: 26 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 179789661 10.1186/s13058-024-01895-6 179789661 ppf: 1 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Deep learning applications in breast cancer histopathological imaging: diagnosis, treatment, and prognosis. aug: au: Jiang, Bitao Bao, Lingling He, Songqin Chen, Xiao Jin, Zhihui Ye, Yingquan affil: Department of Hematology and Oncology, Beilun District People's Hospital, 315800, Ningbo, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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