A robust and novel semantic segmentation deep neural network for robotic surgery vision with a single RGB camera

Yike Shi

doi:10.1117/12.2671382

28 April 2023 A robust and novel semantic segmentation deep neural network for robotic surgery vision with a single RGB camera

Yike Shi

Author Affiliations +

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126100C (2023) https://doi.org/10.1117/12.2671382
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

The surgical robot, a crucial instrument in the emerging field of Minimally Invasive Surgery (MIS), has clear advantages over traditional MIS in terms of flexibility, accuracy, and 3D vision. A crucial computer vision task that helps surgeons is the real-time and precise segmentation of the region of interest during robotic surgery. In this paper, a brand-new and reliable learning framework for image segmentation is proposed, and it is based on a single RGB camera. The major study goal is presented after a brief introduction to the current state of affairs and the visual capabilities of surgical robots at first. Then, a brief review and discussion of the existing research on deep learning-based computer vision in robotic surgery is given, followed by the presentation of our suggested deep neural network structure. Additionally, the comprehensive extraction of the multi-scale feature information makes use of the atrous convolutional procedure. Finally, a variety of image segmentation evaluation metrics are introduced, and the performance is promising for the clinical domain.

Citation Download Citation

Yike Shi "A robust and novel semantic segmentation deep neural network for robotic surgery vision with a single RGB camera", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126100C (28 April 2023); https://doi.org/10.1117/12.2671382

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