A new oral contrast agent for CT imaging has shown improved visualization of bowel anatomy in clinical trials. Compared to traditional agents, it provides clearer images, which can help radiologists ...

Inspired by the outstanding performance of deep convolutional neural networks (CNNs), nowadays modern computer-aided detection (CAD) systems for CT lung nodules generally delve into 2D or 3D CNNs ...

Abstract: This paper describes a set of techniques developed for the visualization of high-resolution volume data generated from industrial computed tomography for nondestructive testing (NDT) ...

With VGTRAINER, users can train deep-learning models for segmentation in-house — without the need for AI or programming expertise. Image courtesy of Hexagon. April 2026 Special Focus Issue: Generative ...

2024 IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks The increasing adoption of Deep Neural Networks (DNNs) has led to their application in many ...

Introduction: Non-contrast brain CT hypodensity and volume in acute ischemic stroke patients are associated with poor patient outcomes. Currently, abnormal hypodensities in CT are measured using ...

Treatment options for Benign Prostate Hyperplasia vary by prostate volume, which is usually calculated using pre-procedural Transrectal Ultrasound (TRUS), Computed Tomography (CT), or Magnetic ...