Toward Detection and Localization of Instruments in Minimally Invasive Surgery

  title={Toward Detection and Localization of Instruments in Minimally Invasive Surgery},
  author={Max Allan and S{\'e}bastien Ourselin and Steve Thompson and David J. Hawkes and John D. Kelly and Danail Stoyanov},
  journal={IEEE Transactions on Biomedical Engineering},
Methods for detecting and localizing surgical instruments in laparoscopic images are an important element of advanced robotic and computer-assisted interventions. Robotic joint encoders and sensors integrated or mounted on the instrument can provide information about the tool's position, but this often has inaccuracy when transferred to the surgeon's point of view. Vision sensors are currently a promising approach for determining the position of instruments in the coordinate frame of the… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 31 references

Computer Vision: Models Learning and Inference

  • S. Prince
  • 2012
1 Excerpt

Marker-less articulated surgical tool detection

  • A. Reiter, P. K. Allen, T. Zhao
  • Proc. Comput. Assist. Radiol. Surg., 2012.
  • 2012
1 Excerpt

Surgical vison

  • D. Stoyanov
  • Ann. Biomed. Eng., vol. 40, no. 2, pp. 332– 334…
  • 2012
1 Excerpt

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