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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 481–490 of 1207 papers

TitleStatusHype
Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography—0
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images—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
AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets—0
Early Experiences with Crowdsourcing Airway Annotations in Chest CT—0
Precise phase retrieval for propagation-based images using discrete mathematics—0
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios—0
Effect of Input Size on the Classification of Lung Nodules Using Convolutional Neural Networks—0
Atrous Residual Interconnected Encoder to Attention Decoder Framework for Vertebrae Segmentation via 3D Volumetric CT Images—0
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