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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 851–860 of 1207 papers

TitleStatusHype
Unified Supervised-Unsupervised (SUPER) Learning for X-ray CT Image Reconstruction—0
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks—0
Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection—0
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images—0
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study—0
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray imagesCode0
Semi-supervised Semantic Segmentation of Prostate and Organs-at-Risk on 3D Pelvic CT Images—0
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images—0
Fused Deep Convolutional Neural Network for Precision Diagnosis of COVID-19 Using Chest X-Ray Images—0
Multi-Channel Potts-Based Reconstruction for Multi-Spectral Computed Tomography—0
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