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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 1081–1090 of 1207 papers

TitleStatusHype
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection—0
Super-Resolution and Sparse View CT Reconstruction—0
Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach—0
A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness—0
Deep Boosted Regression for MR to CT Synthesis—0
Holographic Visualisation of Radiology Data and Automated Machine Learning-based Medical Image Segmentation—0
Automatic Airway Segmentation in chest CT using Convolutional Neural Networks—0
CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)—0
Metal Artifact Reduction in Cone-Beam X-Ray CT via Ray Profile Correction—0
Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation—0
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