Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs.
| Publicado en: | European Radiology Vol. 29; no. 10; pp. 5469 - 5478 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2019
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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=138395970&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 138395970 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Oct2019 vid: 29 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 138395970 143923061 10.1007/s00330-019-06167-y 138395970 ppf: 5469 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs. aug: au: Cheng, Chi-Tung Ho, Tsung-Ying Lee, Tao-Yi Chang, Chih-Chen Chou, Ching-Cheng Chen, Chih-Chi Chung, I-Fang Liao, Chien-Hung affil: Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Linkou, Chang Gung University, Taoyuan, Taiwan sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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