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.

AttendSeg is a new neural network architecture from DarwinAI designed to perform image segmentation on low-power/capacity computing devices.

Meta's image segmentation model could have a lot of applications, including in AR and VR.

Lipids are difficult to detect with light microscopy. Using a new chemical labeling strategy, a Dresden-based team led by André Nadler at the Max Planck Institute of Molecular Cell Biology and ...

According to a blog post from Meta, SAM is an image segmentation model that can respond to text prompts or user clicks to isolate specific objects within an image.

Over the past decade, advancements in machine learning (ML) and deep learning (DL) have revolutionized segmentation accuracy.

Join 10,000+ vision professionals driving innovation in automation, AI and imaging with: A new microscopy technique developed by Queen Mary University has achieved live-cell imaging at 60nm, and could ...

Apple has talked about its AI image segmentation technology since 2021. But what might set Meta apart is both function and usability.

Wastewater sludge, a byproduct of sewage treatment, can be repurposed into fired clay bricks. Research shows adding sludge ...