From deep learning to dark fields—medical imaging physics in ECR 2020.
| Publicado en: | European Radiology Vol. 30; no. 12; pp. 6937 - 6940 |
|---|---|
| Autor principal: | |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2020
|
| 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=146734446&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 146734446 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Dec2020 vid: 30 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 146734446 144443642 10.1007/s00330-020-07045-8 146734446 ppf: 6937 ppct: 3 formats: fmt: @attributes: type: P tig: atl: From deep learning to dark fields—medical imaging physics in ECR 2020. aug: au: Kortesniemi, Mika affil: HUS Medical Imaging Center, University of Helsinki and Helsinki University Hospital, POB 340, FI-00029, Helsinki, Finland sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|