How the Gemma 4 Vision Agent’s “Agentic Loop” Solves Complex Visual Reasoning

Explore the new agentic loop pipeline using Gemma 4 and Falcon Perception for highly accurate, locally hosted image ...
EurekAlert!

A novel deep learning model for medical image segmentation with convolutional neural network and transformer

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 ...
EurekAlert!

Automated liver segmentation from CT images using modified ResUNet

Recent research has focused on multimodal medical image segmentation. A cascaded V-net and H-DenseUNet approach have improved Dice scores, but at the expense of high computational complexity.
news.ucsc

UC Santa Cruz researchers’ tool creates ‘synthetic’ images of cells for enhanced microscopy analysis

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 ...
AppleInsider

Apple researchers add 20 more open-source models to improve text and image AI

Apple has contributed 20 new Core Machine Learning models to an open source AI repository Hugging Face, adding to its existing public models and research papers. In April 2024, Apple publicly shared a ...

From Image to 3D in Seconds: How Tripo Studio’s AI Transforms 3D Creation Workflows

AI 3D model generator Tripo Studio helps create 3D assets from text or images, automate retopology and texturing, and speed ...