Performance of artificial intelligence in 7533 consecutive prevalent screening mammograms from the BreastScreen Australia program.
| Publicado en: | European Radiology Vol. 34; no. 6; pp. 3947 - 3958 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jun2024
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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=177797485&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 177797485 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jun2024 vid: 34 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 177797485 173583072 10.1007/s00330-023-10396-7 177797485 ppf: 3947 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Performance of artificial intelligence in 7533 consecutive prevalent screening mammograms from the BreastScreen Australia program. aug: au: Waugh, John Evans, Jill Miocevic, Miranda Lockie, Darren Aminzadeh, Parisa Lynch, Anne Bell, Robin J. affil: https://ror.org/033s1aj42 Monash BreastScreen, Monash Cancer Centre, Moorabbin Hospital, 823-865 Centre Road, 3165, Bentleigh East, Victoria, Australia sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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