Meta's new image segmentation models can identify objects and people and reconstruct them in 3D - SiliconANGLE ...

Artificial intelligence has exploded in popularity in recent years, and many proponents are excited about its potential uses in medicine: for example, processing samples quickly or identifying markers ...

The combination of artificial intelligence and human collaboration is transforming the analysis of tissue (anatomopathological) samples obtained from biopsies or surgical specimens. A study published ...

Artificial intelligence (AI) is set to transform the care of women with cancer. From early detection via digital phenotyping ...

Atomic force microscopy faces enduring challenges in imaging speed, accuracy, and automated analysis as microstructure characterization becomes increasingly ...

In his research, Professor Marko Huhtanen from the University of Oulu, who specializes in applied and computational ...

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 ...

Tired of waiting for StarNet++ to process your images? Learn how to significantly reduce processing time and generate clean, starless results faster than ever. #StarNetPlusPlus ...

A skull-stripping artificial intelligence model leveraging personalized prior knowledge from brain atlases generates consistent brain extraction across diverse age groups, scanners and protocols. Deep ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global ...