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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 876–900 of 1207 papers

TitleStatusHype
Human Recognition Using Face in Computed Tomography—0
Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT—0
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation—0
Keypoints Localization for Joint Vertebra Detection and Fracture Severity QuantificationCode1
Multi-view polarimetric scattering cloud tomography and retrieval of droplet size—0
A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scansCode1
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images—0
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19Code1
MosMedData: Chest CT Scans With COVID-19 Related Findings DatasetCode0
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain AdaptationCode0
Intracranial Hemorrhage Detection Using Neural Network Based Methods With Federated Learning—0
Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images—0
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT—0
Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan—0
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning—0
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT ImageCode1
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia—0
3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19—0
Intra-model Variability in COVID-19 Classification Using Chest X-ray ImagesCode0
3D Solid Spherical Bispectrum CNNs for Biomedical Texture AnalysisCode0
Detecting Electric Devices in 3D Images of Bags—0
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networksCode0
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution—0
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT ImagesCode1
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia—0
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