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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 751–760 of 1207 papers

TitleStatusHype
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss—0
Semi-supervised learning for generalizable intracranial hemorrhage detection and segmentation—0
Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation StudyCode0
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease—0
A Rigid Registration Method in TEVAR—0
Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images—0
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning—0
Free-form tumor synthesis in computed tomography images via richer generative adversarial networkCode0
Cycle-free CycleGAN using Invertible Generator for Unsupervised Low-Dose CT Denoising—0
Algorithm-driven Advances for Scientific CT Instruments: From Model-based to Deep Learning-based Approaches—0
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