Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

We develop a new edge detection algorithm, holistically-nested edge detection (HED), which performs image-to-image prediction by means of a deep learning model that leverages fully convolutional ...

Abstract: A segmentation process is usually required in order to analyze an image. One of the available segmentation approaches is by detecting the edges on the image. Up to now, there are many edge ...

Field-Programmable Gate Arrays (FPGAs) offer a flexible hardware substrate for accelerating image edge detection, combining high parallelism with reconfigurability to meet real-time throughput and low ...

We don’t usually speculate on the true identity of the hackers behind these projects, but when [TN666]’s accoustic drone-detector crossed our desk with the name “Batear”, we couldn’t help but wonder– ...

AI systems are far better than people at spotting deepfake images, but when it comes to deepfake videos, humans may still have the edge. That’s the surprising twist from a new study that pits people ...

Abstract: Grover's algorithm is one of the most significant quantum algorithms, enabling the search for a marked element in an unsorted database quadratically faster than classical search algorithms.

Agreement aims to enhance patient outcomes through the early detection of hard-to-detect diseases like chronic kidney disease. CRYSTAL LAKE, Ill.--(BUSINESS WIRE)--Aptar Digital Health, a global ...

WEST LAFAYETTE, Ind. — Patent-pending imaging technologies created in Purdue University’s College of Engineering could be developed and commercialized for applications as diverse as medical imaging, ...

With the development of bionic computer vision for images processing, researchers have easily obtained high-resolution zoom sensing images. The development of drones equipped with high-definition ...