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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 1051–1100 of 1207 papers

TitleStatusHype
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data—0
Conditioning Generative Latent Optimization for Sparse-View CT Image Reconstruction—0
Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography—0
Constraint-Based Model in Multimodal Learning to Improve Ventricular Arrhythmia Prediction—0
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images—0
Context Driven Label Fusion for segmentation of Subcutaneous and Visceral Fat in CT Volumes—0
Continuous Filtered Backprojection by Learnable Interpolation Network—0
Continuous Learned Primal Dual—0
Contraband Materials Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
Contrast Phase Classification with a Generative Adversarial Network—0
Controlling Neural Networks via Energy Dissipation—0
Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance)—0
Domain specific cues improve robustness of deep learning based segmentation of ct volumes—0
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction—0
Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images—0
COPD Classification in CT Images Using a 3D Convolutional Neural Network—0
Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning—0
Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods—0
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training—0
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection—0
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study—0
Cov3d: Detection of the presence and severity of COVID-19 from CT scans using 3D ResNets—0
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution—0
Covid-19 classification with deep neural network and belief functions—0
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network—0
COVID-19 Detection in Computed Tomography Images with 2D and 3D Approaches—0
COVID-19 Detection Using Slices Processing Techniques and a Modified Xception Classifier from Computed Tomography Images—0
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios—0
COVID-CLNet: COVID-19 Detection with Compressive Deep Learning Approaches—0
COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network—0
CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19—0
COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans—0
Cross-dataset domain adaptation for the classification COVID-19 using chest computed tomography images—0
Cross-domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Low-dose Cardiac SPECT—0
Cross-Modal Domain Adaptation in Brain Disease Diagnosis: Maximum Mean Discrepancy-based Convolutional Neural Networks—0
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation—0
Cross-Vendor CT Image Data Harmonization Using CVH-CT—0
Crowdsourcing Lung Nodules Detection and Annotation—0
CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering—0
CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes—0
CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models—0
CTG-Net: An Efficient Cascaded Framework Driven by Terminal Guidance Mechanism for Dilated Pancreatic Duct Segmentation—0
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement—0
CT Image Harmonization for Enhancing Radiomics Studies—0
CT-image Super Resolution Using 3D Convolutional Neural Network—0
CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)—0
CT Super Resolution via Zero Shot Learning—0
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT—0
Cycle-free CycleGAN using Invertible Generator for Unsupervised Low-Dose CT Denoising—0
Cylindrical Transform: 3D Semantic Segmentation of Kidneys With Limited Annotated Images—0
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