A symmetry-based superposition method for planning and surgical outcome assessment

HIGHLIGHTS

  • who: Yu-Ching Hsiao and Jing-Jing Fang from the Department of Mechanical Engineering, National Cheng Kung University, Tainan, Taiwan have published the Article: A Symmetry-Based Superposition Method for Planning and Surgical Outcome Assessment, in the Journal: Bioengineering 2023, 10, x FOR PEER REVIEW of /2023/
  • what: The aim of this research was to develop a robust superposition method to assess the deviation of planning and by using the symmetrical characteristic of the affected target. The authors implemented the algorithms using C++ programming in a personal computer with a 3.6 GHz Intel Core . . .

     

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