From images to insight: AI builds the first pediatric reference map for meibomian glands

Dry eye disease is a common ocular condition that can significantly impair quality of life, and dysfunction of the meibomian glands is a major contributing factor. Advances in infrared meibography ...
Modern Ghana

The Data Behind the Algorithms: Why Data Annotation Is the Invisible Force Shaping AI in 2026

Imagine it rsquo;s a rainy Tuesday in February 2026 . An autonomous delivery robot is navigating a busy metropolitan sidewalk .
EurekAlert!

InstaDrive: Street view generation based on the unified instance segmentation input of vehicles and map elements

InstaDrive, proposed by SJTU researchers, addresses autonomous driving’s tedious annotation and long-tail data issues. It ...
Frontiers

Orchestrating segment anything models to accelerate segmentation annotation on agricultural image datasets

1 Institute of Agricultural Engineering, Tropics and Subtropics Group, University of Hohenheim, Stuttgart, Germany 2 Institute of Agricultural Engineering, Department of Artificial Intelligence in ...
Search Engine Land

Google Search Console rolls out custom annotations for performance reports

Custom annotations are finally live within Google Search Console’s performance reports. You can now annotate reports directly within Search Console to avoid forgetting important key events; such as ...
IEEE

SA-Seg: Annotation-Efficient Segmentation for Airway Tree Using Saliency-based Annotation

Abstract: Segmentation of the airway tree plays a vital role in clinical practice. However, the complex airway tree structure makes it quite challenging to annotate accurately. Although some ...
IEEE

Automatic Segmentation Annotation of Space Target Using Segment Anything Model and Object Detection Prompts

Abstract: The efficacy of intelligent recognition and inference in space target imagery is profoundly dependent on the dataset's scale and its quality. Given the rarity of such images, labor-intensive ...
EurekAlert!

DeepWMH: a deep learning tool for accurate white matter hyperintensity segmentation without requiring manual annotations for training

White matter hyperintensities (WMHs) on fluid-attenuated inversion recovery (FLAIR) images are imaging features in various neurological diseases and essential markers for clinical impairment and ...