Browsing Electrical and Electronic Engineering by Subject "machine learning"

Now showing items 1-1 of 1

    • Image-based classification of bladder state using electrical impedance tomography 

      Dunne, Eoghan; Santorelli, Adam; McGinley, Brian; Leader, Geraldine; O'Halloran, Martin; Porter, Emily (IOP Publishing, 2018-12-03)
      Objective: In this study, we examine the potential of using machine learning classification to determine the bladder state ( not full , full ) with electrical impedance tomography (EIT) images of the pelvic region. Accurate ...