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

MIT researchers developed an AI tool, MultiverSeg, to simplify the annotation of medical images for clinical research.

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 ...

A research team presents XFruitSeg, a deep learning model designed to accurately segment three-dimensional computed tomography (CT) images of plant fruits.

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 ...

My machine is equipped with an A40 GPU, and I intended to use GPU 2 for prefill and GPU 7 for decode to test a single-machine PD deployment. The setup operates normally, and the services run without ...

An easy and playful way to generate personalized images in a flash is spreading like wildfire across the Philippines. Filipinos are leading the world in using Google’s new Nano Banana image generation ...

We propose SegDINO, an efficient image segmentation framework that couples a frozen DINOv3 backbone with a lightweight MLP decoder, achieving state-of-the-art performance on both medical and natural ...

A research team led by Prof. Wang Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...

Eagle-eyed Shein shoppers spotted an unlikely face appearing to model a product for the discount retailer: accused killer Luigi Mangione. A product listing for a men's collared shirt on Shein's ...

The snake’s head was as big as a garden spade, lunging at hunter Mike Kimmel once, twice, before sinking its recurved teeth into his arm causing blood to spurt in rhythm with his racing heart. Alone ...