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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 781–790 of 1207 papers

TitleStatusHype
Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection—0
Generation of annotated multimodal ground truth datasets for abdominal medical image registration—0
Generative Adversarial U-Net for Domain-free Medical Image Augmentation—0
Generative-based Airway and Vessel Morphology Quantification on Chest CT Images—0
Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction—0
Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study—0
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation—0
Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography—0
Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction—0
Graph-based compensated wavelet lifting for 3-D+t medical CT data—0
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