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

Robust Unsupervised Deep Learning for Nonblind Image Deconvolution With Inaccurate Kernels

Abstract: Nonblind image deconvolution/deblurring aims at restoring sharp images from their noisy blurred versions using an associated blur kernel with potential ...