A research team introduces a scalable, drone-based 3D reconstruction pipeline combined with a novel deep learning framework—SegVoteNet—to phenotype sorghum panicles in field trials.

A research team introduces PodNet, the first real-time instance segmentation model designed for preharvest soybean fields.

A research team has developed a novel deep learning approach that significantly improves the accuracy of assessing plant leaf ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

A deep learning model was able to determine the presence or absence of distinct autoimmune neuroinflammatory disorders.

Deep learning model outperformed clinical tools, cutting false positives and enhancing accuracy in CT lung cancer screening ...

A research team led by Prof. Jiang Ni from the Institute of Genetics and Developmental Biology (IGDB) of the Chinese Academy of Sciences (CAS) proposed a cost-effective method for in-field acquisition ...

CISPA researcher Sarath Sivaprasad, together with Hui-Po Wang and Mario Fritz from CISPA and other colleagues from HIPS, has ...

TSA Canine Training Center at Joint Base San Antonio-Lackland, Texas. (Photo: TSA via LinkedIn) Ever wonder where Transportation Security Administration (TSA) dogs learn the skills that make them one ...

Researchers at Guizhou University have developed LLRL, a deep learning framework that targets lesion regions directly, ...