Researchers from Nanyang Technological University, Wuhan University, and ByteDance have proposed a novel paradigm Text4Seg++, ...

The core idea of Text4Seg++ is 'text as a mask.' By generating a special text called 'semantic deors' to represent segmentation results, it completely discards the traditional segmentation decoders.

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

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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.

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 ...

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.

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

The global AI in ultrasound imaging market is set to witness a growth rate of 22% in the next 5 years. Growing adoption of AI ...