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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 551–575 of 1207 papers

TitleStatusHype
Artificial Intelligence Augmented Medical Imaging Reconstruction in Radiation Therapy—0
Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST—0
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration—0
Graph-based compensated wavelet lifting for 3-D+t medical CT data—0
Graph-based multimodal multi-lesion DLBCL treatment response prediction from PET images—0
Continuous Learned Primal Dual—0
Continuous Filtered Backprojection by Learnable Interpolation Network—0
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images—0
Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction Parameters?—0
Context Driven Label Fusion for segmentation of Subcutaneous and Visceral Fat in CT Volumes—0
Labelling Vertebrae with 2D Reformations of Multidetector CT Images: An Adversarial Approach for Incorporating Prior Knowledge of Spine Anatomy—0
Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction—0
Graph data modelling for outcome prediction in oropharyngeal cancer patients—0
Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography—0
From Variability To Accuracy: Conditional Bernoulli Diffusion Models with Consensus-Driven Correction for Thin Structure Segmentation—0
Full-Scale Indexing and Semantic Annotation of CT Imaging: Boosting FAIRness—0
Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks—0
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
Contrast Phase Classification with a Generative Adversarial Network—0
CNN-based fully automatic mitral valve extraction using CT images and existence probability maps—0
Fused Deep Convolutional Neural Network for Precision Diagnosis of COVID-19 Using Chest X-Ray Images—0
Fusing Medical Image Features and Clinical Features with Deep Learning for Computer-Aided Diagnosis—0
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images—0
GAN-based disentanglement learning for chest X-ray rib suppression—0
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images—0
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