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

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

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 ...

AI-enhanced microscopy is reshaping how scientists study particles, improving accuracy, efficiency, and sustainability from ...

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

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 label. If the brain is under scrutiny for instance, its different parts ...

Developing cardiac inflammatory organoid models incorporating multiple cell lineages is vital for novel therapies.

A research team developed a 3D deep learning–based panoptic segmentation model that combines semantic and instance ...

François Jost is a French semiologist and emeritus professor of information and communication sciences at Sorbonne Nouvelle ...

Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...