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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 826–850 of 1207 papers

TitleStatusHype
Local Models for Scatter Estimation and Descattering in Polyenergetic X-Ray Tomography—0
Distant Domain Transfer Learning for Medical Imaging—0
Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization—0
Spatiotemporal tomography based on scattered multiangular signals and its application for resolving evolving clouds using moving platformsCode0
COVID-CLNet: COVID-19 Detection with Compressive Deep Learning Approaches—0
Explaining Predictions of Deep Neural Classifier via Activation Analysis—0
Generation of annotated multimodal ground truth datasets for abdominal medical image registration—0
Sparse-View Spectral CT Reconstruction Using Deep Learning—0
Unsupervised domain adaptation based COVID-19 CT infection segmentation network—0
Crowdsourcing Airway Annotations in Chest Computed Tomography ImagesCode0
ResCovNet: A Deep Learning-Based Architecture For COVID-19 Detection From Chest CT Scan Images—0
Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom—0
Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines—0
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images—0
Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19—0
Patch-based field-of-view matching in multi-modal images for electroporation-based ablations—0
Self-Supervised Learning for Biological Sample Localization in 3D Tomographic Images—0
COVID-FACT: A Fully-Automated Capsule Network-based Framework for Identification of COVID-19 Cases from Chest CT scansCode0
CT-CAPS: Feature Extraction-based Automated Framework for COVID-19 Disease Identification from Chest CT Scans using Capsule NetworksCode0
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification—0
Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography—0
Deep Sequential Learning for Cervical Spine Fracture Detection on Computed Tomography Imaging—0
Automated triage of COVID-19 from various lung abnormalities using chest CT features—0
Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk—0
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study—0
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