Weakly supervised deep learning for diagnosis of multiple vertebral compression fractures in CT.
| Publicado en: | European Radiology Vol. 34; no. 6; pp. 3750 - 3761 |
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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=177797483&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 177797483 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: 177797483 173645340 10.1007/s00330-023-10394-9 177797483 ppf: 3750 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Weakly supervised deep learning for diagnosis of multiple vertebral compression fractures in CT. aug: au: Choi, Euijoon Park, Doohyun Son, Geonhui Bak, Seongwon Eo, Taejoon Youn, Daemyung Hwang, Dosik affil: https://ror.org/01wjejq96 Department of Artificial Intelligence, Yonsei University, Seoul, Republic of Korea sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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