An interpretable machine learning model assists in predicting induction chemotherapy response and survival for locoregionally advanced nasopharyngeal carcinoma using MRI: a multicenter study.
| Publicado en: | European Radiology Vol. 35; no. 8; pp. 5121 - 5135 |
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| Autores principales: | , , , , , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Aug2025
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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=186373243&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186373243 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Aug2025 vid: 35 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 186373243 182899280 10.1007/s00330-025-11396-5 186373243 ppf: 5121 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: An interpretable machine learning model assists in predicting induction chemotherapy response and survival for locoregionally advanced nasopharyngeal carcinoma using MRI: a multicenter study. aug: au: Liao, Hai Zhao, Yang Pei, Wei Huang, Xia Huang, Shiting Wei, Wei Lai, Penghao Jin, Weifeng Bao, Huayan Liang, Xueli Xiao, Lei Chen, Zhenyu Lu, Shaolu Su, Danke Lu, Bingfeng Pan, Linghui affil: https://ror.org/03dveyr97 Department of Medical Imaging Center, Guangxi Medical University Cancer Hospital, Guangxi Clinical Research Center for Medical Imaging Construction, Guangxi Key Clinical Specialty (Medical Imaging Department), Dominant Cultivation Discipline of Guangxi Medical University Cancer Hospital (Medical Imaging Department), Nanning, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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