When doctors review brain scans, each detail of the picture—each pixel or voxel—must be painstakingly labeled. The cerebral ...

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical ...

Lack of incentives and low adoption of metadata standards are limiting AI's potential for bioimage analysis—a community ...

MIT researchers developed an interactive, AI-based system that enables users to rapidly annotate areas of interest in new biomedical imaging datasets, without training a machine-learning model in ...

Colour image segmentation techniques form a cornerstone in modern image processing, enabling the partitioning of digital images into distinct, meaningful regions. By utilising colour information ...

In a recent study published in Nature Methods, researchers assessed a novel method for bacterial cell segmentation named Omnipose. Breakthroughs in microscopy are extremely promising for enabling ...

In the days before artificial intelligence (AI) and machine learning (ML), clinicians performed this crucial yet painstaking ...