In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...
Scientists have captured the most complete, high-resolution map of the cold gas at the center of the Milky Way, which contains the raw material from which stars and planets are made. Information from ...
Abstract: Conventional methods based on bicubic degradation assumption for single remote sensing image super-resolution (SRSISR) have achieved remarkable progress. However, they would possibly fail in ...
EDITOR’S NOTE: Call to Earth is a CNN editorial series committed to reporting on the environmental challenges facing our planet, together with the solutions. Rolex’s Perpetual Planet Initiative has ...
Abstract: Recent studies have shown that the use of deep convolutional neural networks (Deep CNNs) can significantly improve the performance of single-image super-resolution reconstruction. In this ...
About 125 million people in the US watched the Super Bowl on Sunday night, making it the most-watched program in NBC’s 100-year history, the network said Tuesday. NBC, citing Nielsen ratings data, ...
Dr. Jamin Brahmbhatt is a urologist and robotic surgeon with Orlando Health and an assistant professor at the University of Central Florida’s College of Medicine. If you watched the Super Bowl, you ...
Abstract: Pseudo-healthy image synthesis aims to generate subject-specific, pathology-free images from pathological scans. Such images can be helpful in certain tasks, such as anomaly detection and ...
Abstract: Synthetic Aperture Radar (SAR) images play a crucial role in various fields due to their high resolution and capability to operate under diverse lighting and climatic conditions. However, ...
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