Temporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources
Yidan Qin,Sahba Aghajani Pedram,Seyedshams Feyzabadi,Max Allan,A. Jonathan McLeod,Joel W. Burdick,Mahdi Azizian,Yidan Qin,Sahba Aghajani Pedram,Seyedshams Feyzabadi,Max Allan,A. Jonathan McLeod,Joel W. Burdick,Mahdi 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. The ob...
