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.

A research team led by Prof. Wang Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...

Context Modeling and Urban Internet of Things Sensing Tools, Spatio-Temporal Fusion and Deep Learning Image Segmentation Algorithms, and Metaverse and Digital Twin Technologies in Immersive 3D and ...

A research team has developed a novel weakly supervised deep learning method that reconstructs spectral data from inexpensive ...

Zeiss Medical Technology has received CE mark approval for its CIRRUS PathFinder, a clinical support tool that utilises AI to ...