Automated bone age assessment in a German pediatric cohort: agreement between an artificial intelligence software and the manual Greulich and Pyle method.
| Publicado en: | European Radiology Vol. 34; no. 7; pp. 4407 - 4414 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jul2024
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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=178150614&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 178150614 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jul2024 vid: 34 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 178150614 174456346 10.1007/s00330-023-10543-0 178150614 ppf: 4407 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Automated bone age assessment in a German pediatric cohort: agreement between an artificial intelligence software and the manual Greulich and Pyle method. aug: au: Gräfe, Daniel Beeskow, Anne Bettina Pfäffle, Roland Rosolowski, Maciej Chung, Tek Sin DiFranco, Matthew David affil: https://ror.org/028hv5492 Department of Pediatric Radiology, University Hospital, Leipzig, Germany sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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