Enhanced surgical 3D perception through autostereoscopic visualisation KU Leuven
This doctoral research is focused on the development of autostereoscopic 3D visualization for medical applications. The research will start with a rigorous requirement analysis, where tracking experiments will be conducted in the operating room to understand the current clinical practice, including movements of surgeons and their viewing behavior. Deep learning methods will be explored for eye- and gaze-tracking algorithms to extract the ...