Deep learning techniques can enhance diagnosis of Meniere disease (MD) and severity grading, according to a study published ...
Image segmentation is a pivotal pre-processing step in computer vision that involves partitioning an image into segments to simplify or change its representation for easier analysis. Over recent ...
Image segmentation continues to represent a cornerstone of computer vision, underpinning applications from medical diagnostics to industrial automation. Contemporary techniques skilfully combine ...
In a recent study published in Nature Methods, researchers assessed a novel method for bacterial cell segmentation named Omnipose. Breakthroughs in microscopy are extremely promising for enabling ...
Recent research has focused on multimodal medical image segmentation. A cascaded V-net and H-DenseUNet approach have improved Dice scores, but at the expense of high computational complexity.
Monitoring urban plant health traditionally requires extensive manual labor and botanical expertise, creating challenges for cities facing expanding green spaces, higher population densities, and ...
More emails are being sent today than ever before: The number sent and received is projected to reach 376.4 billion by 2025. For that reason, it's now more complicated for senders to reach their ...
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