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Evaluation of suturing performance in general surgery and ocular microsurgery by combining computer vision-based software and distributed fiber optic strain sensors: a proof-of-concept.

Amir HandelmanYariv KeshetEitan LivnyRefael BarkanYoav NahumRonnie Tepper
Published in: International journal of computer assisted radiology and surgery (2020)
We proved a concept of an objective scoring method (based on various image processing algorithms) for assessment of suturing performance. It was also shown that fiber optic strain sensors are sensitive to the flow of stitching operation on a patch but are less sensitive to the flow of stitching operation on a human cornea. By combining these two methods, we can comprehensively evaluate the suturing performance objectively.
Keyphrases
  • deep learning
  • optic nerve
  • optical coherence tomography
  • endothelial cells
  • low cost
  • machine learning
  • physical activity
  • data analysis
  • neural network