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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 861–870 of 1207 papers

TitleStatusHype
Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories—0
Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging—0
Lesion-Aware Cross-Phase Attention Network for Renal Tumor Subtype Classification on Multi-Phase CT Scans—0
Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity—0
Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images—0
Level set based particle filter driven by optical flow: an application to track the salt boundary from X-ray CT time-series—0
Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT—0
Leveraging Multimodal CycleGAN for the Generation of Anatomically Accurate Synthetic CT Scans from MRIs—0
Lightweight Framework for Automated Kidney Stone Detection using coronal CT images—0
Limited-angle CT reconstruction via the L1/L2 minimization—0
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