Assessing unconstrained surgical cuttings in VR using CNNs

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May 02, 2022
Ilias Chrysovergis, Manos Kamarianakis, Mike Kentros, Dimitris Angelis, Antonis Protopsaltis, George Papagiannakis
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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)  
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