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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 1051–1060 of 1207 papers

TitleStatusHype
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data—0
Conditioning Generative Latent Optimization for Sparse-View CT Image Reconstruction—0
Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography—0
Constraint-Based Model in Multimodal Learning to Improve Ventricular Arrhythmia Prediction—0
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images—0
Context Driven Label Fusion for segmentation of Subcutaneous and Visceral Fat in CT Volumes—0
Continuous Filtered Backprojection by Learnable Interpolation Network—0
Continuous Learned Primal Dual—0
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
Contrast Phase Classification with a Generative Adversarial Network—0
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