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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 1026–1050 of 1207 papers

TitleStatusHype
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation—0
Class-Discriminative Attention Maps for Vision Transformers—0
Classical and learned MR to pseudo-CT mappings for accurate transcranial ultrasound simulation—0
Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines—0
Classification of COVID-19 via Homology of CT-SCAN—0
Classification of COVID-19 X-ray Images Using a Combination of Deep and Handcrafted Features—0
Classification of lung cancer subtypes on CT images with synthetic pathological priors—0
Classification of lung nodules in CT images based on Wasserstein distance in differential geometry—0
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations—0
Closed-Form Approximation of the Total Variation Proximal Operator—0
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction—0
Coarse-to-fine Airway Segmentation Using Multi information Fusion Network and CNN-based Region Growing—0
CodEx: A Modular Framework for Joint Temporal De-blurring and Tomographic Reconstruction—0
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation—0
Combining Deep Learning and Adaptive Sparse Modeling for Low-dose CT Reconstruction—0
Combining many-objective radiomics and 3D convolutional neural network through evidential reasoning to predict lymph node metastasis in head and neck cancer—0
Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework—0
Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans—0
Comparing One-step and Two-step Scatter Correction and Density Reconstruction in X-ray CT—0
Compression Fractures Detection on CT—0
Computationally Efficient Deep Neural Network for Computed Tomography Image Reconstruction—0
Computational Scatter Correction for High-Resolution Flat-Panel CT Based on a Fast Monte Carlo Photon Transport Model—0
Computed Tomography Image Enhancement using 3D Convolutional Neural Network—0
Computed Tomography Reconstruction using Generative Energy-Based Priors—0
Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network—0
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