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Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality
Published on: August 9, 2024
Austin Reiter1, Peter K Allen, Tao Zhao
1Columbia University, New York, NY, USA. areiter@cs.columbia.edu
This study presents a novel tool tracking system for computer-aided surgery. It learns visual features to precisely track articulated surgical instruments using stereo vision and robot kinematics.
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