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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 821–830 of 1207 papers

TitleStatusHype
Improving Automated Hemorrhage Detection in Sparse-view Computed Tomography via Deep Convolutional Neural Network based Artifact Reduction—0
Improving Cone-Beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data Settings—0
Improving mesh-based motion compensation by using edge adaptive graph-based compensated wavelet lifting for medical data sets—0
Improving Vertebra Segmentation through Joint Vertebra-Rib Atlases—0
INeAT: Iterative Neural Adaptive Tomography—0
Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee—0
Integer Optimization of CT Trajectories using a Discrete Data Completeness Formulation—0
Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium—0
Integrating Deep Unfolding with Direct Diffusion Bridges for Computed Tomography Reconstruction—0
Integrating features from lymph node stations for metastatic lymph node detection—0
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