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 ...

Identifying and delineating cell structures in microscopy images is crucial for understanding the complex processes of life. This task is called "segmentation" and it enables a range of applications, ...

A research team has developed a deep learning–driven computed tomography (CT) imaging pipeline that enables precise, ...