3 accepted papers
The success rate of catheterization procedures is closely linked to the sensory data provided to the surgeon. Vision-based deep learning models can deliver both tactile and visual information in a sensor-free manner, while also being cost-effective to produce. Given the complexity of these models fo
Knowledge of the tip contact force in continuum robots, which are often used as medical instruments, is critical for clinical applications. It enhances the interventionalist's decision-making, navigation efficiency, and procedural safety. However, accurately determining the tip contact force in conv
Estimating the applied forces in three dimensions during catheter-based surgeries can make the entire process tangible for surgeons. This will result in diminishing the risk of fatal errors while improving the outcome of the surgery. In this work, a novel deep convolutional neural network is propose