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Dose independent characterization of renal stones by means of dual energy computed tomography and machine learning: an ex-vivo study.
Große Hokamp, Nils; Lennartz, Simon; Salem, Johannes; Pinto Dos Santos, Daniel; Heidenreich, Axel; Maintz, David; Haneder, Stefan.
Affiliation
  • Große Hokamp N; Faculty of Medicine and University Hospital Cologne, Institute for Diagnostic and Interventional Radiology, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany. Nils.Grosse-Hokamp@uk-koeln.de.
  • Lennartz S; Faculty of Medicine and University Hospital Cologne, Institute for Diagnostic and Interventional Radiology, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
  • Salem J; Else Kröner Forschungskolleg Clonal Evolution in Cancer, University Hospital Cologne, Cologne, Germany.
  • Pinto Dos Santos D; Faculty of Medicine and University Hospital Cologne, Department of Urology, University of Cologne, Cologne, Germany.
  • Heidenreich A; Faculty of Medicine and University Hospital Cologne, Institute for Diagnostic and Interventional Radiology, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
  • Maintz D; Faculty of Medicine and University Hospital Cologne, Department of Urology, University of Cologne, Cologne, Germany.
  • Haneder S; Faculty of Medicine and University Hospital Cologne, Institute for Diagnostic and Interventional Radiology, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Eur Radiol ; 30(3): 1397-1404, 2020 Mar.
Article in En | MEDLINE | ID: mdl-31773296
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Kidney Calculi / Tomography, X-Ray Computed / Neural Networks, Computer Type of study: Prognostic_studies Limits: Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2020 Document type: Article Affiliation country:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Kidney Calculi / Tomography, X-Ray Computed / Neural Networks, Computer Type of study: Prognostic_studies Limits: Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2020 Document type: Article Affiliation country: