3D imaging can be a polarizing topic ... "In the realm of autofocus, we have been using deep learning technologies for subject recognition. So far, this recognition has focused on 'identifying ...

The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological ...

The avatars were then used to train a deep learning network to predict body composition ... back, left and right) into a 3D body shape avatar, and then into body composition. All the processing is ...

This episode looks at the "point clouds" for 3D data visuals used in architecture, archaeology, and autonomous driving. Plus, ...

In this study, researchers used deep learning models trained on MRI scans ... were promising targets for brain aging. The 3D-ViT model accurately predicted the biological brain age of the ...

A Florida State University researcher will use new funding to improve the artificial intelligence and machine learning models that support 3D modeling structures used in medicine, scientific research, ...

A research team has developed a groundbreaking deep learning-based method for analyzing the cytoskeleton -- the structural framework inside cells -- more accurately and efficiently than ever before.

An Osaka Metropolitan University project aimed to estimate the 3D arrangement of whole bunches of grape berries in the wild, with the ultimate goal of supporting the mastering of the pruning task ...

How do neural networks work? It's a question that can confuse novices and experts alike. A team from MIT's Computer Science ...

Researchers sought to investigate the efficacy of a handcrafted ultrasomic model vs a deep-learning-based radiomic model in identifying infarcted myocardium using ultrasound video images.