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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 576–600 of 1207 papers

TitleStatusHype
Self-supervised Physics-based Denoising for Computed Tomography—0
Data-Driven Computational Imaging for Scientific DiscoveryCode0
Spatio-Temporal Hybrid Fusion of CAE and SWIn Transformers for Lung Cancer Malignancy Prediction—0
Fully Automated Deep Learning-enabled Detection for Hepatic Steatosis on Computed Tomography: A Multicenter International Validation Study—0
Residual Back Projection With Untrained Neural Networks—0
Super-Resolution Based Patch-Free 3D Image Segmentation with High-Frequency GuidanceCode0
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ SegmentationCode0
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time AugmentationCode0
NSCGCN: A novel deep GCN model to diagnosis COVID-19—0
Loop Unrolled Shallow Equilibrium Regularizer (LUSER) -- A Memory-Efficient Inverse Problem Solver—0
Evaluating the Performance of StyleGAN2-ADA on Medical Images—0
COVID-19 Detection Using Segmentation, Region Extraction and Classification PipelineCode0
LungViT: Ensembling Cascade of Texture Sensitive Hierarchical Vision Transformers for Cross-Volume Chest CT Image-to-Image Translation—0
Evaluation of importance estimators in deep learning classifiers for Computed Tomography—0
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative ModelsCode0
Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation—0
CCTCOVID: COVID-19 Detection from Chest X-Ray Images Using Compact Convolutional Transformers—0
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density—0
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural NetworksCode0
SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator—0
Label Refinement Network from Synthetic Error Augmentation for Medical Image SegmentationCode0
Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary StudyCode0
Variable Imaging Projection Cloud Scattering TomographyCode0
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior—0
Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosisCode0
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