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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 671–680 of 1207 papers

TitleStatusHype
Sparse-View X-Ray CT Reconstruction Using _1 Prior with Learned Transform—0
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation—0
Spatiotemporal Feature Learning Based on Two-Step LSTM and Transformer for CT Scans—0
Spatio-Temporal Hybrid Fusion of CAE and SWIn Transformers for Lung Cancer Malignancy Prediction—0
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data—0
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions—0
SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction—0
Stabilizing Deep Tomographic Reconstruction—0
Stabilizing dual-energy X-ray computed tomography reconstructions using patch-based regularization—0
Stagnant zone segmentation with U-net—0
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