Frontiers

Evolving challenges and breakthroughs in deep learning-driven medical imaging

Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...

Deep learning model can predict cardiopulmonary disease in retinal images of premature infants

A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
IEEE

Language-Guided and Similarity-Aware Network for Few-Shot Classification of Coastal Wetland Hyperspectral Images

Abstract: In recent years, few-shot learning (FSL) has made significant progress in hyperspectral image classification (HSIC) by transferring meta-knowledge from a source domain with sufficient ...
Tech Xplore

Stress-testing AI vision systems: Rethinking how adversarial images are generated

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
Tech Xplore

Grok created three million sexualized images, research says

Elon Musk's AI chatbot Grok generated an estimated three million sexualized images of women and children in a matter of days, ...
IEEE

Improved Transformer Network Based on Multiscale Grouping Feature Fusion for Hyperspectral Image Classification

Abstract: In recent years, hyperspectral image classification methods based on convolutional neural networks and Transformer architectures have achieved remarkable success. However, existing ...