A radiomics-based interpretable model to predict the pathological grade of pancreatic neuroendocrine tumors.
| Publicado en: | European Radiology Vol. 34; no. 3; pp. 1994 - 2006 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Mar2024
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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=175530247&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 175530247 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Mar2024 vid: 34 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 175530247 171307097 10.1007/s00330-023-10186-1 175530247 ppf: 1994 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A radiomics-based interpretable model to predict the pathological grade of pancreatic neuroendocrine tumors. aug: au: Ye, Jing-Yuan Fang, Peng Peng, Zhen-Peng Huang, Xi-Tai Xie, Jin-Zhao Yin, Xiao-Yu affil: https://ror.org/037p24858 Department of Pancreato-Biliary Surgery, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhongshan Er Road, 510080, Guangzhou, Guangdong, People's Republic of China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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