Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...

Abstract: Semi-supervised learning has proven highly effective in tackling the challenge of limited labeled training data in medical image segmentation. In general, current approaches, which rely on ...

Learn the core practice of dividing a broad market into distinct subsets of consumers based on shared characteristics.

Abstract: In this paper, we present UISE, a unified image segmentation framework that achieves efficient performance across various segmentation tasks, eliminating the need for multiple specialized ...

We are excited to introduce HunyuanImage-2.1, a 17B text-to-image model that is capable of generating 2K (2048 × 2048) resolution images. Our architecture consists of two stages: Base text-to-image ...

A keen-eyed Powell’s Books customer who noticed a “wonky” graphic on one of the store’s T-shirts for sale — then posted the image to the social media platform Reddit last week — ignited an uproar ...

Astronomers have been racing to get a better look at 3I/ATLAS, a mysterious object screaming into our solar system from far beyond. Now, as the BBC reports, new observations by the Gemini South ...

Google updates a support page to list exact Gemini usage limits for free, AI Pro, and AI Ultra plans. Don't miss out on our latest stories. Add PCMag as a preferred source on Google. Google has ...