Evaluating subscapularis tendon tears on axillary lateral radiographs using deep learning.
| Publicado en: | European Radiology Vol. 31; no. 12; pp. 9408 - 9418 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2021
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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=153556020&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 153556020 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Dec2021 vid: 31 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 153556020 150438974 10.1007/s00330-021-08034-1 153556020 ppf: 9408 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Evaluating subscapularis tendon tears on axillary lateral radiographs using deep learning. aug: au: Kang, Yusuhn Choi, Dongjun Lee, Kyong Joon Oh, Joo Han Kim, Bo Ram Ahn, Joong Mo affil: Department of Radiology, Seoul National University Bundang Hospital, 82 Gumi-ro, 173 Beon-gil, Bundang-gu, 13620, Seongnam-si, Gyeonggi-do, South Korea sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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