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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 691–700 of 1207 papers

TitleStatusHype
Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule NetworkCode0
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed TomographyCode1
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions—0
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 DetectionCode1
COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTsCode0
COVID-19 Detection in Computed Tomography Images with 2D and 3D Approaches—0
DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT ImagesCode0
Unsupervised Acute Intracranial Hemorrhage Segmentation with Mixture Models—0
Semi-supervised learning for generalizable intracranial hemorrhage detection and segmentation—0
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss—0
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