Objective Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients ...
Researchers in China have developed a novel localized dust accumulation monitoring technique for distributed photovoltaic arrays that relies solely on existing inverter hardware, eliminating the need ...
A research team led by Kyushu University has developed a new fabrication method for energy-efficient magnetic random-access memory (MRAM) using a new material called thulium iron garnet (TmIG) that ...
Researchers have developed a method to break down PET, one of the world’s most widely used plastics, for sustainable recycling using mechanical forces instead of heat or harsh chemicals. The high ...
Meta announced on Wednesday that data collected from user interactions with its AI products will soon be used to sell targeted ads across its social media platforms. The company will update its ...
LOS ANGELES — Victor Wembanyama is doing something wrong. The 7-foot-4 unicorn, still in the early stages of rewriting how basketball is played, just made a move few in the world can. But it’s the ...
ABSTRACT: Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques ...
Next year, Google will prohibit sideloading on Android—one of the few prominent things differentiating the Android operating system from Apple's iOS. Per the forthcoming policy, Google will ask all ...
1 School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China 2 Institute of Characteristic Agriculture, Jiaozuo Academy of Agriculture and Forestry Sciences, Jiaozuo, ...
Dogs trained to detect Parkinson’s disease using scent have shown remarkable accuracy in new research. In a double-blind trial, they identified skin swabs from people with Parkinson’s with up to 80% ...
Focal cortical dysplasia (FCD) type II is a common cause of epilepsy and is challenging to detect due to its similarities with other brain conditions. Finding these lesions accurately is essential for ...
This important work presents a self-supervised method for the segmentation of 3D cells in fluorescent microscopy images, conveniently packaged as a Napari plugin and tested on an annotated dataset.