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Computed Tomography (CT)

The term “computed tomography”, or CT, refers to a computerized x-ray imaging procedure in which a narrow beam of x-rays is aimed at a patient and quickly rotated around the body, producing signals that are processed by the machine's computer to generate cross-sectional images—or “slices”—of the body.

( Image credit: Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector )

Papers

Showing 291300 of 1207 papers

TitleStatusHype
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation0
Cross-Vendor CT Image Data Harmonization Using CVH-CT0
Automatic 3D liver location and segmentation via convolutional neural networks and graph cut0
Automated Tumor Segmentation and Brain Mapping for the Tumor Area0
AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening0
Automated triage of COVID-19 from various lung abnormalities using chest CT features0
Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction0
A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT0
AI generated annotations for Breast, Brain, Liver, Lungs and Prostate cancer collections in National Cancer Institute Imaging Data Commons0
Automated segmentation of 3-D body composition on computed tomography0
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