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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 801–850 of 1207 papers

TitleStatusHype
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
Suppression of Correlated Noise with Similarity-based Unsupervised Deep LearningCode1
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT DenoisingCode1
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
Unified Supervised-Unsupervised (SUPER) Learning for X-ray CT Image Reconstruction—0
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric SegmentationCode1
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks—0
TorchRadon: Fast Differentiable Routines for Computed TomographyCode1
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep LearningCode1
Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection—0
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images—0
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study—0
Semi-supervised Semantic Segmentation of Prostate and Organs-at-Risk on 3D Pelvic CT Images—0
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray imagesCode0
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images—0
Fused Deep Convolutional Neural Network for Precision Diagnosis of COVID-19 Using Chest X-Ray Images—0
Multi-Channel Potts-Based Reconstruction for Multi-Spectral Computed Tomography—0
PiaNet: A pyramid input augmented convolutional neural network for GGO detection in 3D lung CT scans—0
COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network—0
Perfusion Imaging: A Data Assimilation ApproachCode0
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images—0
Deep Learning based Spectral CT Imaging—0
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical ImagingCode1
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans—0
Multi-modal segmentation of 3D brain scans using neural networks—0
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams—0
A model-guided deep network for limited-angle computed tomographyCode0
Learned convex regularizers for inverse problemsCode1
Stabilizing Deep Tomographic Reconstruction—0
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
Classification of Multiple Diseases on Body CT Scans using Weakly Supervised Deep LearningCode1
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network—0
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images—0
Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision—0
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 DiagnosisCode1
COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-NetCode0
CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography imagesCode0
Integrative Analysis for COVID-19 Patient Outcome PredictionCode1
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review—0
U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images—0
Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search—0
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