Frontiers

Enhanced stem cell image segmentation by leveraging visual processing mechanisms

This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual information ...
C&EN

Computer Vision-Assisted Data Analysis for Correlative Electron Microscopy and Secondary Ion Mass Spectrometry Imaging

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Correlative imaging is a powerful analytical approach in bioimaging, as it offers ...
The New York Times

OpenAI Agrees to Use Computer Chips From AMD

Weeks after a $100 billion agreement to use computer chips from Nvidia, OpenAI has signed a similar deal with a rival chipmaker. By Cade Metz Reporting from San Francisco Late last month, OpenAI ...
Scientific Research Publishing

Wirth, M. and Stapinski, A. (2004) A segmentation of the breast region in mammograms using snakes. Proceedings of the 1st Canadian Conference on Computer and Robot Vision ...

ABSTRACT: Contour is an important pattern descriptor in image processing and particularly in region description, registration and length estimation. In many applications where contour is used, a good ...
marktechpost

Meta AI Just Released DINOv3: A State-of-the-Art Computer Vision Model Trained with Self-Supervised Learning, Generating High-Resolution Image Features

DINOv3 represents a major leap in computer vision: its frozen universal backbone and SSL approach enable researchers and developers to tackle annotation-scarce tasks, deploy high-performance models ...
IEEE

Ground-Based Remote Sensing Cloud Image Segmentation Using Convolution-MLP Network

Abstract: Recently, multilayer perceptron (MLPs)-based methods in computer vision have attracted much attention due to the ability of learning long-range dependencies. However, MLPs-based methods ...