Assessing unconstrained surgical cuttings in VR using CNNs
arXiv:2205.00934
Abstract
We present a Convolutional Neural Network (CNN) suitable to assess unconstrained surgical cuttings, trained on a dataset created with a data augmentation technique.
2 pages, 2 figures, Submitted to the Siggraph '22 Poster Session (Vancouver, 8-11 Aug 2022)