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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 771–780 of 1207 papers

TitleStatusHype
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural networkCode0
CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models—0
A new semi-supervised self-training method for lung cancer prediction—0
CT Super Resolution via Zero Shot Learning—0
Automated 3D cephalometric landmark identification using computerized tomography—0
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT SlicesCode0
Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks—0
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CTCode0
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images—0
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