Image segmentation remains a cornerstone of computer vision, facilitating the partitioning of images into meaningful regions for analysis and interpretation. Recent advancements have seen the ...

Image segmentation continues to represent a cornerstone of computer vision, underpinning applications from medical diagnostics to industrial automation. Contemporary techniques skilfully combine ...

This paper presents a novel multi-label and interactive image segmentation algorithm that draws analogies to electric network circuits solutions from electrical engineering. Treating the image as a ...

This paper presents a graph cut approach to the image segmentation task. Considering the image to be a directed graph with two nodes representing the source (object) and the sink (background), the ...

A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...

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 ...

For humans, identifying items in a scene — whether that’s an avocado or an Aventador, a pile of mashed potatoes or an alien mothership — is as simple as looking at them. But for artificial ...