AttendSeg is a new neural network architecture from DarwinAI designed to perform image segmentation on low-power/capacity computing devices.

Medical image segmentation is one of the most important tasks in modern healthcare. Every pixel in a scan tells a story, whether it marks a healthy cell, a cancerous growth, or a vital organ boundary.

Meta's image segmentation model could have a lot of applications, including in AR and VR.

Recently, Meta AI Research approaches a general, promptable segment anything model (SAM) pre-trained on an unprecedentedly large segmentation dataset (SA-1B). Without a doubt, the emergence of SAM ...

The core technology of this patent involves segmenting the image to be encoded into foreground and background images, ...

This article describes a segmentation procedure for multichannel image data and attempts to develop an understanding of its statistical performance characteristics in terms of nonparametric regression ...

This application note showcases how an AI-based module has been trained to analyze brightfield images for cell segmentation, allowing insights into cell proliferation and cell morphology without the ...

Toward the end, the measure is tested for its effectiveness in image segmentation. The American Statistician strives to publish articles of general interest to the statistical profession on topics ...