Machine learning–based multiparametric magnetic resonance imaging radiomics model for distinguishing central neurocytoma from glioma of lateral ventricle.
| Publicado en: | European Radiology Vol. 33; no. 6; pp. 4259 - 4270 |
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| Autores principales: | , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jun2023
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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=163727617&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 163727617 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jun2023 vid: 33 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 163727617 160921037 10.1007/s00330-022-09319-9 163727617 ppf: 4259 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Machine learning–based multiparametric magnetic resonance imaging radiomics model for distinguishing central neurocytoma from glioma of lateral ventricle. aug: au: Mo, Haizhu Liang, Wen Huang, Zhousan Li, Xiaodan Xiao, Xiang Liu, Hao He, Jianming Xu, Yikai Wu, Yuankui affil: Department of Medical Imaging, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Avenue North, 510515, Guangzhou, Guangdong, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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