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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 351–400 of 1207 papers

TitleStatusHype
Cross-domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Low-dose Cardiac SPECT—0
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images—0
3D Anchor-Free Lesion Detector on Computed Tomography Scans—0
Development of pericardial fat count images using a combination of three different deep-learning models—0
Automated segmentation of 3-D body composition on computed tomography—0
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review—0
AI generated annotations for Breast, Brain, Liver, Lungs and Prostate cancer collections in National Cancer Institute Imaging Data Commons—0
DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding—0
AutoCT: Automated CT registration, segmentation, and quantification—0
Deciphering scrolls with tomography: A training experiment—0
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images—0
A Graphical Approach For Brain Haemorrhage Segmentation—0
Deep Boosted Regression for MR to CT Synthesis—0
Deep Clustering Activation Maps for Emphysema Subtyping—0
Automatic 3D liver location and segmentation via convolutional neural networks and graph cut—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
Automatic Airway Segmentation in chest CT using Convolutional Neural Networks—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
Cross-dataset domain adaptation for the classification COVID-19 using chest computed tomography images—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
Automatic Left Ventricular Cavity Segmentation via Deep Spatial Sequential Network in 4D Computed Tomography Studies—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
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images—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
Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification—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
Automatic segmentation of kidney and liver tumors in CT images—0
Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set—0
Novel coronavirus pneumonia lesion segmentation in CT images—0
A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images—0
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks—0
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