Medical image segmentation, the task of tracing the exact outlines of lesions, polyps, and blood vessels in clinical scans, has long been dominated by a trade-off. Convolutional networks excel at ...

When it comes to generative AI news, Meta has taken somewhat of a backseat as of late. However, on Wednesday, the tech giant unveiled research on image segmentation that could have a large impact on ...

Training an artificial intelligence system to outline every object in a photograph usually demands thousands of painstakingly ...

Image annotation can tell a model very different things about a picture. A box can show where a car is. A polygon can follow ...

Deep learning cell segmentation has turned one of biological imaging's most tedious tasks, tracing every cell or nucleus in a field of view by hand, into a largely automated step. Cellpose and ...

There are effective approaches for 2D segmentation, yet 3D cell segmentation remains a critical bottleneck due to diverse cell morphologies, low signal-to-noise ratios, and data scarcity. We introduce ...