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 ...

A team of researchers proposed an unsupervised deep learning-based method for reconstructing volumetric particle distribution of Tomo-PIV. Instead of using ground truth data as for supervised ...

More information: Ashwin RajKumar et al, Unsupervised machine learning for automated corrosion staging using optical microscopy images, npj Materials Degradation (2025). DOI: 10.1038/s41529-025 ...