Computer methods and programs in biomedicine
Jun 30, 2022
BACKGROUND AND OBJECTIVE: Liver reserve function should be accurately evaluated in patients with hepatic cellular cancer before surgery to evaluate the degree of liver tolerance to surgical methods. Meanwhile, liver reserve function is also an import...
Nature human behaviour
Jun 30, 2022
Policing efforts to thwart crime typically rely on criminal infraction reports, which implicitly manifest a complex relationship between crime, policing and society. As a result, crime prediction and predictive policing have stirred controversy, with...
World journal of urology
Jun 30, 2022
OBJECTIVE: To evaluate the relationship between enlarged prostate, bulky median lobe (BML) or prior benign prostatic hyperplasia (BPH) surgery and perioperative functional, and oncological outcomes in high-risk (HR) prostate cancer (PCa) patients tre...
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Jun 30, 2022
Deep learning for nondestructive evaluation (NDE) has received a lot of attention in recent years for its potential ability to provide human level data analysis. However, little research into quantifying the uncertainty of its predictions has been do...
IEEE transactions on medical imaging
Jun 30, 2022
Automatically recognising surgical gestures from surgical data is an important building block of automated activity recognition and analytics, technical skill assessment, intra-operative assistance and eventually robotic automation. The complexity of...
IEEE transactions on medical imaging
Jun 30, 2022
Studies have shown that there is a tight connection between cognition skills and brain morphology during infancy. Nonetheless, it is still a great challenge to predict individual cognitive scores using their brain morphological features, considering ...
IEEE transactions on medical imaging
Jun 30, 2022
When deep neural network (DNN) was first introduced to the medical image analysis community, researchers were impressed by its performance. However, it is evident now that a large number of manually labeled data is often a must to train a properly fu...
Sensors (Basel, Switzerland)
Jun 30, 2022
There has been a rapid increase in the use of collaborative robots in manufacturing industries within the context of Industry 4.0 and smart factories. The existing human-robot interactions, simulations, and robot programming methods do not fit into t...
Sensors (Basel, Switzerland)
Jun 30, 2022
The current gold standard of gait diagnostics is dependent on large, expensive motion-capture laboratories and highly trained clinical and technical staff. Wearable sensor systems combined with machine learning may help to improve the accessibility o...
Sensors (Basel, Switzerland)
Jun 30, 2022
The paper deals with a lead-through method of programming for industrial robots. The goal is to automatically reproduce 6DoF trajectories of a tool wielded by a human operator demonstrating a motion task. We present a novel motion-tracking system bui...