Radiologists are beginning to use AI-based computer vision models to help speed up the laborious process of parsing medical scans. However, these models require large amounts of carefully labeled ...

BELFAST, Northern Ireland--(BUSINESS WIRE)--Axial3D, a leader in medical segmentation and 3D solutions, today announced that it is the first to receive FDA clearance for an automated, AI-driven, cloud ...

In recent years, the use of computer algorithms for identifying specific objects within images, called “image segmentation,” has become popular in medical image analysis, helping doctors diagnose ...

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 ...

The brain is responsible for the "general command" of human thinking and coordination of the body. Thus, various brain diseases can cause great damage to the human body and nervous system. Brain ...

Researchers from Peking University Third Hospital have developed a novel collaborative framework that integrates various semi-supervised learning techniques to enhance MRI segmentation using unlabeled ...