CT-based deep learning model for predicting hospital discharge outcome in spontaneous intracerebral hemorrhage.
| Publicado en: | European Radiology Vol. 34; no. 7; pp. 4417 - 4427 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jul2024
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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=178150595&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 178150595 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jul2024 vid: 34 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 178150595 174357583 10.1007/s00330-023-10505-6 178150595 ppf: 4417 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: CT-based deep learning model for predicting hospital discharge outcome in spontaneous intracerebral hemorrhage. aug: au: Zhao, Xianjing Zhou, Bijing Luo, Yong Chen, Lei Zhu, Lequn Chang, Shixin Fang, Xiangming Yao, Zhenwei affil: https://ror.org/0144s0951 Department of Radiology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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