IEEE

Efficient Multi-Scale Transformer With Convolutional Attention for High-Definition Image Dehazing

Abstract: Image dehazing aims to recover clear images from hazy inputs, crucial for advanced computer vision tasks. While convolutional neural networks (CNNs) have traditionally been used, transformer ...
IEEE

An Iterative Networks Based on Homogeneous and Heterogeneous Local-Global Interaction Modules for Multispectral Image Panchromatic Sharpening

Abstract: Panchromatic sharpening lays the foundation for subsequent remote sensing image interpretation tasks by fusing spatially detailed panchromatic images from different sources and multispectral ...
The American Journal of Managed Care

Convolutional Neural Network Improves MS Lesion Segmentation

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

7 Bell Labs Breakthroughs Honored as IEEE Milestones

Bell Labs is already highly recognized, but in its centennial year, the organization hoped to add more awards to burnish its ...
Labmate Online

ELRIG 2025: How Novo Nordisk is showing label-free route to functional phenotyping in brightfield high-content imaging

At ELRIG 2025 Dr Barak Gilboa of Novo Nordisk unveiled a suite of AI-enabled approaches that turn brightfield microscopy from a low-contrast focusing aid into a powerful modality for high-content ...