BIOENGINEER

Frequency-Decoupled AI Cracks the Cross-Center Problem in Nuclei Segmentation

Artificial intelligence has promised to transform pathology, but a stubborn obstacle keeps getting in the way: an algorithm ...
Nature

Deep Learning Applications in Prostate Image Segmentation articles from across Nature Portfolio

The EURO-PROBE dataset provides manually created segmentations of the prostate and intraprostatic urethra on axial T2-weighted MRI volumes, complementing the existing LUND-PROBE (LUND Prostate ...
BIOENGINEER

New Attention Framework Sharpens AI Segmentation Using Only Image Labels

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