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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 1121–1130 of 1207 papers

TitleStatusHype
Deep learning based dictionary learning and tomographic image reconstruction—0
Deep learning based low-dose synchrotron radiation CT reconstruction—0
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation—0
Deep Learning based Spectral CT Imaging—0
Deep Learning CT Image Restoration using System Blur and Noise Models—0
Deep-Learning Driven Noise Reduction for Reduced Flux Computed Tomography—0
Deep learning for cardiac image segmentation: A review—0
Fully Automated Deep Learning-enabled Detection for Hepatic Steatosis on Computed Tomography: A Multicenter International Validation Study—0
Deep Learning Models for Classification of COVID-19 Cases by Medical Images—0
Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner—0
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