2022
Y-Net: A Deep Convolutional Architecture for 3D Estimation of Contact Forces in Intracardiac Catheters
RA-L 2022
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