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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 631–640 of 1207 papers

TitleStatusHype
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images—0
3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture—0
Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial NetworksCode0
Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic SegmentationCode0
Combining Deep Learning and Adaptive Sparse Modeling for Low-dose CT Reconstruction—0
Nonconvex L_ 1/2 -Regularized Nonlocal Self-similarity Denoiser for Compressive Sensing based CT Reconstruction—0
On Scale Space Radon Transform, Properties and Application in CT Image Reconstruction—0
Using Deep Learning-based Features Extracted from CT scans to Predict Outcomes in COVID-19 Patients—0
HRCTCov19 -- A High-Resolution Chest CT Scan Image Dataset for COVID-19 Diagnosis and Differentiation—0
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference—0
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