Abstract: Due to their uniqueness, hyper-redundant manipulators are becoming increasingly relevant in robotics research. The abundance of degrees of freedom makes them adaptable to a variety of ...
Abstract: Semi-supervised learning (SSL) has emerged as a promising paradigm for medical image segmentation, aiming to alleviate the scarcity of high-quality annotations by combining limited labeled ...