BIOENGINEER

MLP mixer blocks with channel attention sharpen medical image segmentation

A new MLP-based segmentation method combining mixer layers with channel attention achieved a Dice coefficient of 81.45 ...
BIOENGINEER

Research report: Frequency-aware sparse token vision transformer for medical image segmentation

A frequency-aware sparse vision transformer outperformed comparison models on organ, cardiac, breast, skin and polyp ...
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 ...
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 ...