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

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 ...

Leapfrog 2025.2 enables the extraction of significantly more value from logging data. The ease of access to core imagery from ...

To take Copilot 3D for a spin, browse to the Copilot 3D website and sign in with your Microsoft account. To get some inspiration, you can view the existing 3D models generated by other people.

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

--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 ...

A recent study introduces an innovative method for analyzing body composition using advanced 3D imaging and deep learning techniques.

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

A 3D analysis comparing how fabric falls on a human body compared to a low-relief sculpture suggests the technique behind the Shroud of Turin.