A5103079183- Surgical Simulation and Training
- Dental Radiography and Imaging
- Advanced Measurement and Metrology Techniques
- Minimally Invasive Surgical Techniques
- Sensor Technology and Measurement Systems
- Structural Health Monitoring Techniques
- Anatomy and Medical Technology
- Advanced X-ray and CT Imaging
- Augmented Reality Applications
- Soft Robotics and Applications
- Digital Transformation in Industry
Xi'an Polytechnic University
2023
University of South China
2023
Accurately detecting laparoscopic surgical instruments is crucial to ensuring the success of robot-assisted surgery. In this paper, we propose a instrument detection framework called ToolNet-X address issues low accuracy and inadequate real-time performance in current methods. The algorithm effectively fuses feature maps different scales using weighted fusion increasing links. addition, introduce gated convolution recursive operations enhance network's global modeling capabilities....
With the advancement of robot technology, use a system to control an endoscope during minimally invasive surgery has evolved significantly. Using assistant frees surgeon's hands and enables them concentrate more on surgical procedure. In addition, it can prevent doctor's hand trembling from affecting field vision, which is conducive smooth operation. This enhances clinical efficacy endoscopic surgery. Despite considerable progress, there are still substantial obstacles overcome. article will...
As many digital twin papers were devoted to simulation models capable of predicting system states given some parameters, this work-in-progress paper focuses on its inverse problem, Parameter Identification (PI), which aims determine the optimal parameters that produce best match physical system. We handle task PI as a dynamic optimization problem and propose gray-box evolutionary (EDO) framework track when vary with time. The main idea is enhance EDO by building an data-driven model predict...