Decoding breast cancer imaging trends: the role of AI and radiomics through bibliometric insights.
| Publicado en: | Breast Cancer Research Vol. 27; no. 1; pp. 1 - 12 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
2/25/2025
|
| 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=183283123&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 183283123 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14655411 8UYJ jtl: Breast Cancer Research issn: 14655411 maglogo: N pubinfo: dt: 2/25/2025 vid: 27 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 183283123 10.1186/s13058-025-01983-1 183283123 ppf: 1 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Decoding breast cancer imaging trends: the role of AI and radiomics through bibliometric insights. aug: au: Wu, Xinyu Xia, Yufei Lou, Xinjing Huang, Keling Wu, Linyu Gao, Chen affil: https://ror.org/04epb4p87 Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), 54 Youdian Road, Hangzhou, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|