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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 1041–1050 of 1207 papers

TitleStatusHype
Combining many-objective radiomics and 3D convolutional neural network through evidential reasoning to predict lymph node metastasis in head and neck cancer—0
Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework—0
Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans—0
Comparing One-step and Two-step Scatter Correction and Density Reconstruction in X-ray CT—0
Compression Fractures Detection on CT—0
Computationally Efficient Deep Neural Network for Computed Tomography Image Reconstruction—0
Computational Scatter Correction for High-Resolution Flat-Panel CT Based on a Fast Monte Carlo Photon Transport Model—0
Computed Tomography Image Enhancement using 3D Convolutional Neural Network—0
Computed Tomography Reconstruction using Generative Energy-Based Priors—0
Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network—0
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