Sepsis is one of the most life-threatening medical emergencies worldwide, claiming millions of lives each year. It occurs ...
Explore how new innovations are bringing fresh hope for the future of liver health in the form of predictive, human-relevant ...
Abstract: Labeling multiple organs for segmentation is a complex and time-consuming process, resulting in a scarcity of comprehensively labeled multi-organ datasets while the emergence of numerous ...
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.
An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...
The Kansas City Chiefs — more than six weeks after they opened training camp in St. Joseph, Mo. — have finally made it to game week. With that in mind, let’s take a step back before Friday’s opener ...
Mimicking the way experienced human observers track growth over time, 3D-NOD integrates novel labeling, registration, and data augmentation strategies to boost sensitivity and accuracy. Tested across ...
Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Aapistie 5 A, 90220 Oulu, Finland Research Unit of Disease Networks, Faculty of Biochemistry and Molecular ...
aDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Special Administrative Region, China ...
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