Artificial intelligence and radiomics for radiation oncology.
| Publicado en: | Strahlentherapie und Onkologie Vol. 196; no. 10; pp. 847 - 848 |
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| Autor principal: | |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2020
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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=145949973&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 145949973 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01797158 NZE jtl: Strahlentherapie und Onkologie issn: 01797158 maglogo: N pubinfo: dt: Oct2020 vid: 196 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 145949973 145949973 NLM32940764 10.1007/s00066-020-01676-y NLM32940764 145949973 ppf: 847 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Artificial intelligence and radiomics for radiation oncology. aug: au: Kocher, Martin affil: Department of Stereotaxy and Functional Neurosurgery, University Hospital of Cologne, Cologne, Germany sug: subj: Image Processing, Computer Assisted Artificial Intelligence Bioinformatics Radiation Oncology Methods Neoplasms Radiotherapy Radiation Oncology Trends Radiotherapy, Computer-Assisted Neoplasms pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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