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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 1101–1150 of 1207 papers

TitleStatusHype
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images—0
DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding—0
Deciphering scrolls with tomography: A training experiment—0
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images—0
Deep Boosted Regression for MR to CT Synthesis—0
Deep Clustering Activation Maps for Emphysema Subtyping—0
Deep convolutional networks for pancreas segmentation in CT imaging—0
Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image—0
Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data—0
Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer—0
Deep Inertia L_p Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction—0
Deep learning and its application to medical image segmentation—0
Deep Learning Approach for Early Stage Lung Cancer Detection—0
Deep Learning-based Assessment of Hepatic Steatosis on chest CT—0
Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study—0
Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT—0
Deep-learning-based Breast CT for Radiation Dose Reduction—0
Deep Learning Based Computed Tomography Whys and Wherefores—0
Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizability—0
Deep Learning based detection of Acute Aortic Syndrome in contrast CT images—0
Deep learning based dictionary learning and tomographic image reconstruction—0
Deep learning based low-dose synchrotron radiation CT reconstruction—0
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation—0
Deep Learning based Spectral CT Imaging—0
Deep Learning CT Image Restoration using System Blur and Noise Models—0
Deep-Learning Driven Noise Reduction for Reduced Flux Computed Tomography—0
Deep learning for cardiac image segmentation: A review—0
Fully Automated Deep Learning-enabled Detection for Hepatic Steatosis on Computed Tomography: A Multicenter International Validation Study—0
Deep Learning Models for Classification of COVID-19 Cases by Medical Images—0
Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner—0
Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning—0
Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia—0
Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set—0
Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation—0
Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk—0
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images—0
Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging—0
Deep-neural-network based sinogram synthesis for sparse-view CT image reconstruction—0
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation—0
Deep Radon Prior: A Fully Unsupervised Framework for Sparse-View CT Reconstruction—0
Deep Representation Learning of Tissue Metabolome and Computed Tomography Images Annotates Non-invasive Classification and Prognosis Prediction of NSCLC—0
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis—0
Deep Sequential Learning for Cervical Spine Fracture Detection on Computed Tomography Imaging—0
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images—0
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search—0
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density—0
Deep Variational Networks with Exponential Weighting for Learning Computed Tomography—0
Delving Deep into Liver Focal Lesion Detection: A Preliminary Study—0
Design of Novel Loss Functions for Deep Learning in X-ray CT—0
Detecting COVID-19 from Chest Computed Tomography Scans using AI-Driven Android Application—0
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