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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
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
HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation—0
Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation—0
Hybrid deep convolution model for lung cancer detection with transfer learning—0
Generation of annotated multimodal ground truth datasets for abdominal medical image registration—0
Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography—0
A fast method for simultaneous reconstruction and segmentation in X-ray CT application—0
Generative Adversarial U-Net for Domain-free Medical Image Augmentation—0
Generative-based Airway and Vessel Morphology Quantification on Chest CT Images—0
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images—0
Function Follows Form: Regression from Complete Thoracic Computed Tomography Scans—0
Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods—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
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection—0
Constraint-Based Model in Multimodal Learning to Improve Ventricular Arrhythmia Prediction—0
Can Generative AI Support Patients' & Caregivers' Informational Needs? Towards Task-Centric Evaluation Of AI Systems—0
Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography—0
Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction—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
FL-MISR: Fast Large-Scale Multi-Image Super-Resolution for Computed Tomography Based on Multi-GPU Acceleration—0
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