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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 501–525 of 1207 papers

TitleStatusHype
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative ModelsCode0
Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation—0
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
SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator—0
Label Refinement Network from Synthetic Error Augmentation for Medical Image SegmentationCode0
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
Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosisCode0
Automated recognition of the pericardium contour on processed CT images using genetic algorithms—0
Efficient liver segmentation with 3D CNN using computed tomography scans—0
Image Reconstruction by Splitting Expectation Propagation Techniques from Iterative Inversion—0
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions—0
Improving Computed Tomography (CT) Reconstruction via 3D Shape InductionCode0
Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning—0
Aging prediction using deep generative model toward the development of preventive medicine—0
Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and LocalizationCode0
Deep 3D Vessel Segmentation based on Cross Transformer NetworkCode1
Voxels Intersecting along Orthogonal Levels Attention U-Net for Intracerebral Haemorrhage Segmentation in Head CTCode1
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury—0
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices—0
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans—0
LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule DetectionCode1
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