BIOENGINEER

UAC-Net links brain-tumor typing and MRI segmentation in one model

UAC-Net combined contextual attention and multi-scale feature fusion in a shared neural network that classified three ...
BIOENGINEER

Compact AI Network Blends Mamba and Polynomial Neurons for Medical Image Segmentation

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 ...
ZDNet

Meta’s new AI model can identify objects in images. Here’s why that matters

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 ...
WPSD Local 6

From Bounding Boxes to Segmentation: How Image Annotation Methods Differ

Image annotation can tell a model very different things about a picture. A box can show where a car is. A polygon can follow its outline. And if the model ...
technologynetworks

Cellpose, StarDist, and the Deep Learning Cell Segmentation Revolution

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 ...