Sample size estimation for radiomics studies: an overlooked problem.
| Publicado en: | European Radiology Vol. 35; no. 9; pp. 5226 - 5228 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2025
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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=187309387&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187309387 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Sep2025 vid: 35 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 187309387 184033709 10.1007/s00330-025-11538-9 187309387 ppf: 5226 ppct: 2 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Sample size estimation for radiomics studies: an overlooked problem. aug: au: Klontzas, Michail E. Kocak, Burak Cuocolo, Renato affil: https://ror.org/00dr28g20 Artificial Intelligence and Translational Imaging (ATI) Laboratory, Department of Radiology, School of Medicine, University of Crete, Heraklion, Greece sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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