Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation.
| Publicado en: | European Radiology Vol. 30; no. 11; pp. 6274 - 6285 |
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| Autores principales: | , , , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2020
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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=146433020&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 146433020 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Nov2020 vid: 30 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 146433020 144195634 10.1007/s00330-020-06958-8 146433020 ppf: 6274 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation. aug: au: Kan, Yansheng Zhang, Qing Hao, Jiange Wang, Wei Zhuang, Junlong Gao, Jie Huang, Haifeng Liang, Jing Marra, Giancarlo Calleris, Giorgio Oderda, Marco Zhao, Xiaozhi Gontero, Paolo Guo, Hongqian affil: Department of Urology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Institute of Urology, Nanjing University, No. 321 Zhongshan Rd, 210008, Nanjing, Jiangsu Province, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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