Abstract: Recent advancements in medical object detection (MOD) have been propelled by the rapid evolution of deep learning (DL) technologies, revolutionizing medical imaging and diagnostic workflows.

Abstract: In this paper, we present an original method for anomaly detection in a program during execution based on a fuzzy context representation of its traces. A trace is a sequence of bounded ...

University of Utah Health today announced its participation in the Davos Alzheimer's Collaborative U.S. Early Detection Expansion Program to increase the early detection of cognitive impairment at ...

Editor’s note: The following is a letter written by Gary McHargue, a retired Forest Service employee of 31 years. McHargue was the person who hired Ken Jordan as lookout at the Colby Mountain Lookout ...

Mercer University School of Medicine’s Early Autism Detection Program is working with state partners to identify autism spectrum disorder earlier, when intervention can have the greatest impact on ...