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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

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Showing 831–840 of 1207 papers

TitleStatusHype
When are Diffusion Priors Helpful in Sparse Reconstruction? A Study with Sparse-view CT—0
Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin—0
Whole-brain substitute CT generation using Markov random field mixture models—0
X2CT-CLIP: Enable Multi-Abnormality Detection in Computed Tomography from Chest Radiography via Tri-Modal Contrastive Learning—0
X2CT-FLOW: Maximum a posteriori reconstruction using a progressive flow-based deep generative model for ultra sparse-view computed tomography in ultra low-dose protocols—0
XProspeCT: CT Volume Generation from Paired X-Rays—0
X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance—0
X-ray Spectral Estimation using Dictionary Learning—0
XTransCT: Ultra-Fast Volumetric CT Reconstruction using Two Orthogonal X-Ray Projections for Image-guided Radiation Therapy via a Transformer Network—0
Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior—0
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