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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
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapyCode0
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
Deep Boosted Regression for MR to CT Synthesis—0
A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness—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
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