Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...

An example of a cell image before and after segmentation, a process which allows researchers to distinguish single cells from each other and their background. Manually finding and labeling the ...

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 ...

In this episode of The Wiley Contracting Chronicles, hosts Jordan Ross and Brooke DeLoatch discuss the growing trend of pharmacy benefit segmentation among health plans. They outline three emerging ...

A new technical paper titled “A Universal AI-Powered Segmentation Model for PCBA and Semiconductor” was published by researchers at Nordson Corporation. “This paper introduces a novel universal deep ...

One reason I've been underwhelmed by AI is that companies consistently frame it as a solution to every problem under the sun. That's why Meta's new Segment Anything Model (SAM 2) is so intriguing to ...