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Towards markerless surgical tool and hand pose estimation.

Jonas HeinMatthias SeiboldFederica BogoMazda FarshadMarc PollefeysPhilipp FürnstahlNassir Navab
Published in: International journal of computer assisted radiology and surgery (2021)
 : To the best of our knowledge, we propose the first synthetic and real data generation pipelines to generate hand and object pose labels for open surgery. We present three baseline models for RGB based object and object/hand pose estimation based on RGB frames. Our realistic synthetic data generation pipeline may contribute to overcome the data bottleneck in the surgical domain and can easily be transferred to other medical applications.
Keyphrases
  • electronic health record
  • working memory
  • minimally invasive
  • healthcare
  • big data
  • coronary artery bypass
  • machine learning
  • acute coronary syndrome