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Using deep learning to generate synthetic CTs for radiotherapy treatment planning
Umeå University, Faculty of Medicine, Department of Radiation Sciences.
Umeå University, Faculty of Medicine, Department of Radiation Sciences.
Umeå University, Faculty of Medicine, Department of Radiation Sciences.
Umeå University, Faculty of Medicine, Department of Radiation Sciences.
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2018 (English)In: Radiotherapy and Oncology, ISSN 0167-8140, E-ISSN 1879-0887, Vol. 127, p. S283-S283Article in journal, Meeting abstract (Other academic) Published
Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 127, p. S283-S283
National Category
Cancer and Oncology
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URN: urn:nbn:se:umu:diva-150491DOI: 10.1016/S0167-8140(18)30842-9ISI: 000437723401144OAI: oai:DiVA.org:umu-150491DiVA, id: diva2:1260243
Conference
37th Meeting of the European-Society-for-Radiotherapy-and-Oncology (ESTRO), APR 20-24, 2018, Barcelona, SPAIN
Available from: 2018-11-01 Created: 2018-11-01 Last updated: 2018-11-01Bibliographically approved

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Bylund, MikaelJonsson, JoakimLundman, JosefBrynolfsson, PatrikGarpebring, AndersNyholm, TufveLöfstedt, Tommy

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Bylund, MikaelJonsson, JoakimLundman, JosefBrynolfsson, PatrikGarpebring, AndersNyholm, TufveLöfstedt, Tommy
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Radiotherapy and Oncology
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