Temporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources

7 Feb 2020Yidan QinSahba Aghajani PedramSeyedshams FeyzabadiMax AllanA. Jonathan McLeodJoel W. BurdickMahdi Azizian

Many tasks in robot-assisted surgeries (RAS) can be represented by finite-state machines (FSMs), where each state represents either an action (such as picking up a needle) or an observation (such as bleeding). A crucial step towards the automation of such surgical tasks is the temporal perception of the current surgical scene, which requires a real-time estimation of the states in the FSMs... (read more)

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