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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 811–820 of 1207 papers

TitleStatusHype
IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction—0
Image Prediction for Limited-angle Tomography via Deep Learning with Convolutional Neural Network—0
Image Reconstruction by Splitting Expectation Propagation Techniques from Iterative Inversion—0
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning—0
Imitating Radiological Scrolling: A Global-Local Attention Model for 3D Chest CT Volumes Multi-Label Anomaly Classification—0
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams—0
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction—0
Improve Cross-Modality Segmentation by Treating T1-Weighted MRI Images as Inverted CT Scans—0
Improved Material Decomposition with a Two-step Regularization for spectral CT—0
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study—0
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