RetinaDA unites six public fundus sets into a 512 × 512 macula-centered benchmark with built-in domain gaps, enabling ...

A newly developed artificial intelligence (AI) tool aims to simplify and reduce the costs associated with training medical imaging software, particularly when only a small number of patient scans are ...

BUFFALO, N.Y. — Pictures may be worth a thousand words but with medical images, that’s an understatement. Digital images of biopsies are especially valuable in diagnosing and tracking the progression ...

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 ...

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.