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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

Showing 901950 of 1207 papers

TitleStatusHype
Multi-view polarimetric scattering cloud tomography and retrieval of droplet size0
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images0
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 Learning0
Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images0
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT0
Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan0
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia0
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning0
3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-190
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 Bags0
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 Solution0
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia0
Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework0
Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans0
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 conversion0
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism0
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios0
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images0
A Natural Language Processing Pipeline of Chinese Free-text Radiology Reports for Liver Cancer Diagnosis0
Capsules for Biomedical Image Segmentation0
Pyramid Focusing Network for mutation prediction and classification in CT images0
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19Code0
Deep Learning based detection of Acute Aortic Syndrome in contrast CT images0
STAN-CT: Standardizing CT Image using Generative Adversarial NetworkCode0
Automated Methods for Detection and Classification Pneumonia based on X-Ray Images Using Deep Learning0
Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images0
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery0
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images0
Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN0
Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods0
Assessing Robustness to Noise: Low-Cost Head CT Triage0
Radiomic feature selection for lung cancer classifiers0
A Computer-Aided Diagnosis System Using Artificial Intelligence for Hip Fractures -Multi-Institutional Joint Development Research-0
Learned Spectral Computed Tomography0
An Overview and Case Study of the Clinical AI Model Development Life Cycle for Healthcare Systems0
Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia0
Visualization of fully connected layer weights in deep learning CT reconstruction0
Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention0
Generative-based Airway and Vessel Morphology Quantification on Chest CT Images0
A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images0
2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small dataCode0
Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives0
Outlier Guided Optimization of Abdominal Segmentation0
A Deep Learning Approach to Automate High-Resolution Blood Vessel Reconstruction on Computerized Tomography Images With or Without the Use of Contrast Agent0
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