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Artificial CT images can enhance variation of case images in diagnostic radiology skills training.
Hofmeijer, Elfi Inez Saïda; Wu, Sheng-Chih; Vliegenthart, Rozemarijn; Slump, Cornelis Herman; van der Heijden, Ferdi; Tan, Can Ozan.
Affiliation
  • Hofmeijer EIS; Robotics and Mechatronics, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands. e.i.s.hofmeijer@utwente.nl.
  • Wu SC; Robotics and Mechatronics, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands.
  • Vliegenthart R; Dept of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • Slump CH; Data Science Center in Health (DASH), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • van der Heijden F; Robotics and Mechatronics, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands.
  • Tan CO; Robotics and Mechatronics, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands.
Insights Imaging ; 14(1): 186, 2023 Nov 07.
Article in En | MEDLINE | ID: mdl-37934344
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Insights Imaging Year: 2023 Document type: Article Affiliation country: Netherlands Country of publication: Germany
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Insights Imaging Year: 2023 Document type: Article Affiliation country: Netherlands Country of publication: Germany