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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 701710 of 1207 papers

TitleStatusHype
Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) ImagesCode0
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search0
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT ScansCode0
Asymmetric 3D Context Fusion for Universal Lesion DetectionCode0
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data0
Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT0
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation0
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration0
Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study0
Stationary Multi-source AI-powered Real-time Tomography (SMART)0
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