News

iPETcertum™ by Claritas, State-of-the-Art Software for Enhancement, Automated Segmentation and Accurate Quantification in PET, PET-CT/MRI Scans, Receives Clearance from ...

Claritas NucMed Tech Brazil S.A. (“Claritas NucMed Brazil”), a subsidiary of UK-based Claritas NucMed Technologies Ltd (“Claritas NucMed”), a company specializing in image processing and ...

New Breakthrough in Image Segmentation: Guangdong AI Institute Patent Supports the Implementation of Computer Vision Applications

The latest announcement from the National Intellectual Property Administration shows that the Guangdong Artificial Intelligence and Advanced Computing Research Institute, in collaboration with Chip ...

Learning AI tool is reshaping the future of medical imaging

Medical image segmentation is one of the most important tasks in modern healthcare. Every pixel in a scan tells a story, whether it marks a healthy cell, a cancerous growth, or a vital organ boundary.

Semi-supervised segmentation method developed for 3D medical image accuracy

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

Boundary-aware semi-supervised segmentation boosts 3D medical image accuracy

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

Meta's new AI model can identify objects in images. Here's why that matters

When it comes to generative AI news, Meta has taken somewhat of a backseat as of late. However, on Wednesday, the tech giant unveiled research on image segmentation that could have a large impact on ...
Ars Technica

New AI model can “cut out” any object within an image—and Meta is sharing the code

On Wednesday, Meta announced an AI model called the Segment Anything Model (SAM) that can identify individual objects in images and videos, even those not encountered during training, reports Reuters.