Abstract: Accurately detecting human attention levels is a key challenge in cognitive neuroscience, with broad application value in improving productivity. Although Electroencephalography (EEG) ...
Abstract: Deep learning models often emphasize structural information over long-range dependencies when producing cleaner images. To enhance the robustness of the resulting denoisers, this work ...
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 ...
Abstract: Alzheimer's disease (AD), a prominent subtype of dementia, is a degenerative brain disorder that demands precise, early identification for improving patient care. This work proposes a novel ...
Abstract: Medical image segmentation methods typically utilize convolutional neural network (CNN) with pooling layers to expand the receptive field for capturing high-level features. Due to the ...
Abstract: Coronary artery disease (CAD) is a condition that affects the coronary arteries. In this disease, the arteries become narrowed or blocked, reducing the blood supply to the heart. This can ...
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: Retinal diseases such as papilledema, tortuosity, and glaucoma are major contributors to preventable blindness, yet they are often not diagnosed until they are in advanced stages due to ...
This is read by an automated voice. Please report any issues or inconsistencies here. CNN anchor Anderson Cooper is walking away from his second job at “60 Minutes” in the latest sign of upheaval at ...
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