Science Daily

AI reads brain MRIs in seconds and flags emergencies

Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining ...
Marketing

Five Segmentation Gaffes (And How to Avoid Them)

Segmentation—the process of identifying specific customer groups—is imperative for personalized marketing and communications. Often, segmentation projects entail large-scale market studies that divide ...
GitHub

Flash LiDAR Vehicle Detection with MATLAB Dataset and Deep Learning Benchmarks

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
IEEE

Comparative Analysis of SwinUNet and ResUNet GAN for Multi-Class Cardiac MRI Segmentation

Abstract: Accurate segmentation of cardiac images in magnetic resonance imaging (MRI) is vital for diagnosing cardiovascular diseases and planning effective treatments. This paper compares two deep ...
IEEE

A Review of Current Research in Automatic Fetal Brain Segmentation from MRI Using Deep Learning

Abstract: Segmentation of fetal brain components in magnetic resonance imaging (MRI) is crucial for understanding brain development and diagnosing neurological disorders. The rapid advancement of deep ...
GitHub

Deep Learning-Based Precision Volume Calculation for Kidney and Tumor Segmentation on CT Images

This study proposes a deep learning-based approach for automatic kidney and tumor segmentation on computed tomography (CT) images with precision volume calculation. We systematically discuss the ...