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.

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.

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

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 ...

The core technology of this patent involves segmenting the image to be encoded into foreground and background images, ...