Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of carefully labeled images from one scanner while holding thousands of unlabeled ...
Meta's new image segmentation models can identify objects and people and reconstruct them in 3D - SiliconANGLE ...
An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to improve imaging stability, accuracy, and automation. By ...
A new AI-driven technology developed by researchers at UNIST promises to significantly reduce data transmission loads during image transfer, paving the way for advancements in autonomous vehicles, ...
Artificial intelligence has exploded in popularity in recent years, and many proponents are excited about its potential uses in medicine: for example ...
Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide, and CT imaging plays a crucial ...
1 School of Electronic Information, Xijing University, Xi’an, China. 2 Department of Nuclear Medicine, Shaanxi Provincial Cancer Hospital, Xi’an, China. 3 Shaanxi University of Chinese Medicine, ...
Introduction: Pore space in tight sandstone formation is very complex with micro-scale and nano-scale pores/throats, the multi-scale characteristics needs to be considered for the construction of ...
1 College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China 2 School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing, China LiDAR ...
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