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Object and anatomical feature recognition in surgical video images based on a convolutional neural network.

Yoshiko BambaShimpei OgawaMichio ItabashiHironari ShindoShingo KameokaTakahiro OkamotoMasakazu Yamamoto
Published in: International journal of computer assisted radiology and surgery (2021)
The proposed model could detect objects in operative images with high accuracy, highlighting the possibility of using AI-based object recognition techniques for intraoperative navigation. Real-time object recognition will play a major role in navigation surgery and surgical education.
Keyphrases
  • convolutional neural network
  • deep learning
  • working memory
  • artificial intelligence
  • minimally invasive
  • healthcare
  • machine learning
  • coronary artery bypass
  • optical coherence tomography
  • quality improvement