6 accepted papers
Lung cancer is the leading cause of cancer death globally, and early diagnosis via transbronchial biopsy (TBB) improves outcomes. However, conventional bronchoscopes for multiple pulmonary nodules face inefficiencies and operator skill dependency. This paper proposes a path planning strategy for rob…
The growing demand for non-wearable, long-term health monitoring solutions, especially for elderly, has driven the development of bed-based physiological monitoring systems. This letter introduces a novel non-contact, bed-based micro-movement sensing system designed for accurate heart rate variabili
Accurate identification of key anatomy structures in airway intubation, the primary step in general anesthesia, is crucial for surgical success and patient safety. Achieving both object detection and segmentation in this context using deep learning technologies is challenging due to limited labeled…
Accurate medical image segmentation especially for echocardiographic images with unmissable noise requires elaborate network design. Compared with manual design, Neural Architecture Search (NAS) realizes better segmentation results due to larger search space and automatic optimization, but most of t…
Due to the advantages of high flexibility, large workspace, and good human-body compatibility, flexible tendon-driven surgical continuum robots have attracted a lot of attention in robot-assisted minimally invasive surgery. However, due to the coupling of the position and angle of the continuum robo…
Aiming at solving the problems of low flexibility, poor internal extension, and chopstick effect in most laparoscopic surgical robots, this letter presents a flexible tendon-driven continuum surgical manipulator with eight degrees of freedom, called FIORA. The manipulator is composed of three indepe