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

Mamba-Based AI Sharpens Medical Image Segmentation With Position Awareness and Dynamic Upsampling

Medical image segmentation, the task of teaching computers to trace the exact outlines of organs and lesions inside CT scans, ...
BIOENGINEER

AI Learns Where to Trust Depth for Sharper Chili Pepper Segmentation

Researchers in Xinjiang, China, have unveiled a new artificial intelligence framework that teaches a segmentation network exactly when and where to trust estimated depth information, dramatically ...
InfoQ

Meta AI Introduces the Segment Anything Model, a Game-Changing Model for Object Segmentation

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Spatial Source

Automatic Scan-to-BIM: Beyond segmentation accuracy

Creating accurate building information models (BIM) from point cloud data of existing buildings remains a slow, manual and ...
techtarget

Customer segmentation analytics evolve with GenAI, ML

Advanced analytics models and machine learning algorithms power customer segmentation strategies. Automation advancements in AI can lead to faster, higher-quality results. Customer segmentation ...