- Startpagina tijdschrift
- Proceedings ICSIA
- 14th ICSIA abstracts
- Automated landmark detection for rigid registration between the simulation CT and the treatment CBCT
sinds 05 december 2013 :
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Rémy Vandaele, Raphaël Marée, Philippe Coucke, Akos Gulyban, François Lallemand, Pierre Geurts, Sébastien Jodogne & Philippe Martinive
Automated landmark detection for rigid registration between the simulation CT and the treatment CBCT
(Proceedings ICSIA — 14th ICSIA abstracts)
Article
Keywords : 3D, landmarks, machine learning, radiotherapy, randomized forests
Om dit artikel te citeren:
Rémy Vandaele, Raphaël Marée, Philippe Coucke, Akos Gulyban, François Lallemand, Pierre Geurts, Sébastien Jodogne & Philippe Martinive, «Automated landmark detection for rigid registration between the simulation CT and the treatment CBCT», Acta Stereologica [En ligne], Proceedings ICSIA, 14th ICSIA abstracts, URL : https://popups.uliege.be/0351-580x/index.php?id=3565.
Over : Rémy Vandaele
Systems and Modeling unit, Department of EE and CS & GIGA-R, ULg, Belgium ; Department of Radiotherapy-Oncology, CHU de Liège, ULg, Belgium ; remy.vandaele@ulg.ac.be
Over : Raphaël Marée
Systems and Modeling unit, Department of EE and CS & GIGA-R, ULg, Belgium
Over : Philippe Coucke
Department of Radiotherapy-Oncology, CHU de Liège, ULg, Belgium
Over : Akos Gulyban
Department of Radiotherapy-Oncology, CHU de Liège, ULg, Belgium
Over : François Lallemand
Department of Radiotherapy-Oncology, CHU de Liège, ULg, Belgium
Over : Pierre Geurts
Systems and Modeling unit, Department of EE and CS & GIGA-R, ULg, Belgium
Over : Sébastien Jodogne
Department of Radiotherapy-Oncology, CHU de Liège, ULg, Belgium ; Department of medical physics, CHU de Liège, ULg, Belgium
Over : Philippe Martinive
Department of Radiotherapy-Oncology, CHU de Liège, ULg, Belgium