Machine learning analysis of adrenal lesions: preliminary study evaluating texture analysis in the differentiation of adrenal lesions.
| Publicado en: | Diagnostic & Interventional Radiology Vol. 29; no. 2; pp. 234 - 244 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Galenos Yayinevi Tic. LTD. STI
Mar2023
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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=162904069&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 162904069 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13053825 39NM jtl: Diagnostic & Interventional Radiology issn: 13053825 maglogo: N pubinfo: dt: Mar2023 vid: 29 iid: 2 pid: 28155 pub: Galenos Yayinevi Tic. LTD. STI artinfo: ui: 162904069 10.5152/dir.2022.21266 162904069 ppf: 234 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Machine learning analysis of adrenal lesions: preliminary study evaluating texture analysis in the differentiation of adrenal lesions. aug: au: Altay, Canan Akın, Işıl Başara Özgül, Abdullah Hakan Adıyaman, Süleyman Cem Yener, Abdullah Serkan Seçil, Mustafa affil: Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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