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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 901–925 of 1207 papers

TitleStatusHype
Multi-view polarimetric scattering cloud tomography and retrieval of droplet size—0
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images—0
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
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia—0
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning—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
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia—0
Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework—0
Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans—0
Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule NetworksCode0
Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with Cone-Beam Computed Tomography (CBCT) to Computed Tomography (CT) image conversion—0
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism—0
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios—0
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images—0
A Natural Language Processing Pipeline of Chinese Free-text Radiology Reports for Liver Cancer Diagnosis—0
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