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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 1191–1200 of 1207 papers

TitleStatusHype
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window—0
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction—0
Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography—0
DuoLift-GAN:Reconstructing CT from Single-view and Biplanar X-Rays with Generative Adversarial Networks—0
Dynamic Angle Selection in X-Ray CT: A Reinforcement Learning Approach to Optimal Stopping—0
Early Experiences with Crowdsourcing Airway Annotations in Chest CT—0
Edge Projection-Based Adaptive View Selection for Cone-Beam CT—0
Effect of Input Size on the Classification of Lung Nodules Using Convolutional Neural Networks—0
Efficient liver segmentation with 3D CNN using computed tomography scans—0
Efficient Low Dose X-ray CT Reconstruction through Sparsity-Based MAP Modeling—0
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