Efficient massive computing for deformable volume data

HIGHLIGHTS

  • who: Resampling. Sensors and collaborators from the Division of Computer Engineering, Hansung University, Seoul, Korea have published the research: Efficient Massive Computing for Deformable Volume Data, in the Journal: Sensors 2022, 22, 6276. of /2022/
  • what: The authors propose an improved technique. is a deformable object generation method based on volume data applied to medical simulations. The authors propose an efficient volume deformation computing for massive data; User latency was improved through a high-speed deformable object creation algorithm; The aim of this study was to store the resampling value for each grid point inside . . .

     

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