Rice University’s MetaSeg matches U-Net accuracy using 90% fewer parameters, making AI medical image segmentation faster, ...

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 ...

A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...

Tyche is a machine-learning framework that can generate plausible answers when asked to identify potential disease in medical images. By capturing the ambiguity in images, the technique could prevent ...

Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...

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 ...

A new artificial intelligence (AI) tool could make it much easier—and cheaper—for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...

When doctors review brain scans, each detail of the picture—each pixel or voxel—must be painstakingly labeled. The cerebral cortex, hippocampus, ventricles, and other structures all need to be marked ...

Cloud-based solution advances personalized healthcare through scalable, personalized 3D solutions driven by artificial intelligence. BELFAST, Northern Ireland--(BUSINESS WIRE)--Axial3D, a leader in ...