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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 301–350 of 1207 papers

TitleStatusHype
Automated segmentation of 3-D body composition on computed tomography—0
Deep learning for cardiac image segmentation: A review—0
3D Anchor-Free Lesion Detector on Computed Tomography Scans—0
Automated recognition of the pericardium contour on processed CT images using genetic algorithms—0
Deep-Learning Driven Noise Reduction for Reduced Flux Computed Tomography—0
Fully Automated Deep Learning-enabled Detection for Hepatic Steatosis on Computed Tomography: A Multicenter International Validation Study—0
Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning—0
Automated pulmonary nodule detection using 3D deep convolutional neural networks—0
Automated processing of X-ray computed tomography images via panoptic segmentation for modeling woven composite textiles—0
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia—0
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo—0
Automated Methods for Detection and Classification Pneumonia based on X-Ray Images Using Deep Learning—0
A Computer-Aided Diagnosis System Using Artificial Intelligence for Hip Fractures -Multi-Institutional Joint Development Research-—0
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation—0
3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware—0
A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images—0
3D Aggregated Faster R-CNN for General Lesion Detection—0
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review—0
CTG-Net: An Efficient Cascaded Framework Driven by Terminal Guidance Mechanism for Dilated Pancreatic Duct Segmentation—0
Automated COVID-19 CT Image Classification using Multi-head Channel Attention in Deep CNN—0
Deep learning based low-dose synchrotron radiation CT reconstruction—0
Deep Learning based Spectral CT Imaging—0
HRCTCov19 -- A High-Resolution Chest CT Scan Image Dataset for COVID-19 Diagnosis and Differentiation—0
Automated airway segmentation by learning graphical structure—0
Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizability—0
Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography—0
Crowdsourcing Lung Nodules Detection and Annotation—0
A hierarchical approach to deep learning and its application to tomographic reconstruction—0
Cross-Vendor CT Image Data Harmonization Using CVH-CT—0
Automated 3D cephalometric landmark identification using computerized tomography—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
Advancing Ischemic Stroke Diagnosis: A Novel Two-Stage Approach for Blood Clot Origin Identification—0
CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models—0
Deep Learning Based Computed Tomography Whys and Wherefores—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
Deep Learning based detection of Acute Aortic Syndrome in contrast CT images—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
Automated femur segmentation from computed tomography images using a deep neural network—0
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT—0
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation—0
Automated neuroradiological support systems for multiple cerebrovascular disease markers -- A systematic review and meta-analysis—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
Auto-Lesion Segmentation with a Novel Intensity Dark Channel Prior for COVID-19 Detection—0
Cross-Modal Domain Adaptation in Brain Disease Diagnosis: Maximum Mean Discrepancy-based Convolutional Neural Networks—0
Cross-domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Low-dose Cardiac SPECT—0
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