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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 501–510 of 1207 papers

TitleStatusHype
Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation—0
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative ModelsCode0
CCTCOVID: COVID-19 Detection from Chest X-Ray Images Using Compact Convolutional Transformers—0
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density—0
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural NetworksCode0
Label Refinement Network from Synthetic Error Augmentation for Medical Image SegmentationCode0
SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator—0
Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary StudyCode0
Variable Imaging Projection Cloud Scattering TomographyCode0
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior—0
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