Technical and clinical overview of deep learning in radiology.
| Publicado en: | Japanese Journal of Radiology Vol. 37; no. 1; pp. 15 - 34 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jan2019
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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=133940282&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133940282 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 18671071 AUCM jtl: Japanese Journal of Radiology issn: 18671071 maglogo: N pubinfo: dt: Jan2019 vid: 37 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 133940282 10.1007/s11604-018-0795-3 133940282 ppf: 15 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Technical and clinical overview of deep learning in radiology. aug: au: Ueda, Daiju Shimazaki, Akitoshi Miki, Yukio affil: Department of Diagnostic and Interventional Radiology, Osaka City University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, 545-8585, Osaka, Japan sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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