Development and validation of a deep learning model using convolutional neural networks to identify femoral internal fixation device in radiographs.
| Publicado en: | Skeletal Radiology Vol. 52; no. 8; pp. 1577 - 1584 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Aug2023
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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=164373776&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 164373776 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03642348 O14 jtl: Skeletal Radiology issn: 03642348 maglogo: N pubinfo: dt: Aug2023 vid: 52 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 164373776 162631235 10.1007/s00256-023-04324-5 164373776 ppf: 1577 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Development and validation of a deep learning model using convolutional neural networks to identify femoral internal fixation device in radiographs. aug: au: Chen, Yanzhen Sun, Qian Li, Zhipeng Zhong, Yuanwu Zeng, Junfeng Nie, Tao affil: Deparment of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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