The Lancet

Non-invasive biopsy diagnosis of diabetic kidney disease via deep learning applied to retinal images: a population-based study

aShanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information ...
IEEE

Deep-BrownConrady: Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data

Abstract: This research addresses the challenge of camera calibration and distortion parameter prediction from a single image using deep learning models. The main contributions of this work are: (1) ...
IEEE

Deep Learning From Crowds on a Healthy Data Diet

Abstract: Learning from crowds aims to train a robust and generalizable model with a noisy crowdsourced dataset from multiple annotators. Due to its simplicity and practicality, the target model and ...
thedeepdive

Six States Introduce Data Center Moratorium Bills as AI Boom Strains Power Grids

At least six US states have introduced legislation to pause new data center construction, marking a rare moment of bipartisan pushback against the artificial intelligence industry’s infrastructure ...
ophthalmologyadvisor

Retinal Detachment Diagnosis Strong Using Deep Learning-Powered Fundus Images

Deep learning algorithms for ultra-widefield fundus photos can identify retinal detachments with precision, supporting early diagnoses in varied settings. Deep learning (DL) models applied to ...