Assessing unconstrained surgical cuttings in VR using CNNs

Ilias Chrysovergis, Manos Kamarianakis, Mike Kentros +3

We present a Convolutional Neural Network (CNN) suitable to assess unconstrained surgical cuttings, trained on a dataset created with a data augmentation technique.