A research team led by Prof. Wang Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science ...

2. Analyze the limitations of traditional image analysis techniques for MVN segmentation and understand how deep learning, specifically the 3D U-Net model, addresses these challenges. 3. Demonstrate ...

Over the past decades, computer scientists have developed many computational tools that can analyze and interpret images.

Acer today announced significant advancements in its SpatialLabs™ Pro solution, unveiling new integrations with NVIDIA ...

Multi-scale 3D CT imaging enables digital twinning, high-fidelity simulation of composite structures Computed tomography (CT) provides highly accurate 3D analysis of internal microstructure, ...

This product enables the automated acquisition of high-resolution 3D images and analytical data, including EBSD and EDS.

Prior to Yokogawa, Arvonn worked at other image analysis companies specializing in 3d visualization and analysis of large multi-dimensional images.

--Foresight Autonomous Holdings Ltd., an innovator in automotive vision systems, announced today that it has received a notice of allowance from the U.S. Patent and Trademark Office for its patent ...

By reconstructing 366 sorghum plants from calibrated images, the team showed that automated measurements achieved near-human repeatability and enabled genome-wide association studies (GWAS) to uncover ...