The invention provides an intelligent choledochoscope-assisted
bile duct calculus minimally invasive calculus removal method and
system, and relates to the technical field of minimally invasive calculus removal, and the method comprises the steps: collecting a
video image in a
bile duct through a choledochoscope, extracting
bile duct calculus feature information through a
deep learning target detection network, and carrying out the enhancement
processing of the image to obtain bile duct
cavity wall features; constructing a three-dimensional bile duct
blood vessel tree model with focus marks; calculating a risk coefficient based on bile duct calculus characteristics, inputting the three-dimensional model, an
anatomy knowledge base and expert experience data into a deep
reinforcement learning network, and generating an optimal calculus taking path; the
system establishes a real-time three-dimensional navigation map, and real-
time path correction is realized through dynamic registration; a visual
servo and force
feedback control method is adopted, the choledochoscope
robot is controlled to move to the target position along the corrected path, the grabbing parameters of the end
effector are adjusted according to the morphological characteristics of the calculus, and accurate calculus taking is achieved.