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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 551–600 of 1207 papers

TitleStatusHype
Deep Learning based Spectral CT Imaging—0
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation—0
Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge—0
Deep learning based low-dose synchrotron radiation CT reconstruction—0
Deep learning based dictionary learning and tomographic image reconstruction—0
Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach—0
Algorithm-driven Advances for Scientific CT Instruments: From Model-based to Deep Learning-based Approaches—0
A CT-based deep learning system for automatic assessment of aortic root morphology for TAVI planning—0
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT—0
Iterative CT Reconstruction via Latent Variable Optimization of Shallow Diffusion Models—0
Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks—0
Deep Learning based detection of Acute Aortic Syndrome in contrast CT images—0
Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizability—0
Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net—0
Deep Learning Based Computed Tomography Whys and Wherefores—0
Deep-learning-based Breast CT for Radiation Dose Reduction—0
Automatic Localization of Deep Stimulation Electrodes Using Trajectory-based Segmentation Approach—0
A lateral semicircular canal segmentation based geometric calibration for human temporal bone CT Image—0
Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT—0
Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study—0
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury—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
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image—0
Deep Learning Approach for Early Stage Lung Cancer Detection—0
Deep learning and its application to medical image segmentation—0
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration—0
Deep Inertia L_p Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction—0
Automatic Intracranial Brain Segmentation from Computed Tomography Head Images—0
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior—0
Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer—0
Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data—0
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning—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
A convergence proof of the split Bregman method for regularized least-squares problems—0
4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis—0
Deep convolutional networks for pancreas segmentation in CT imaging—0
Automatic 3D liver location and segmentation via convolutional neural networks and graph cut—0
Deep Clustering Activation Maps for Emphysema Subtyping—0
Deep Boosted Regression for MR to CT Synthesis—0
Automated Tumor Segmentation and Brain Mapping for the Tumor Area—0
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images—0
Automated triage of COVID-19 from various lung abnormalities using chest CT features—0
Deciphering scrolls with tomography: A training experiment—0
Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction—0
AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening—0
DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding—0
Automated segmentation of 3-D body composition on computed tomography—0
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images—0
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