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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 901–950 of 1207 papers

TitleStatusHype
Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework—0
Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans—0
Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor SegmentationCode1
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
Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule NetworksCode0
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
Capsules for Biomedical Image Segmentation—0
Pyramid Focusing Network for mutation prediction and classification in CT images—0
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-raysCode1
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray ImagesCode1
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 images—0
STAN-CT: Standardizing CT Image using Generative Adversarial NetworkCode0
Automated Methods for Detection and Classification Pneumonia based on X-Ray Images Using Deep Learning—0
COVID-CT-Dataset: A CT Scan Dataset about COVID-19Code1
Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images—0
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images—0
Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN—0
U-Det: A Modified U-Net architecture with bidirectional feature network for lung nodule segmentationCode1
Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods—0
Assessing Robustness to Noise: Low-Cost Head CT Triage—0
Radiomic feature selection for lung cancer classifiers—0
A Computer-Aided Diagnosis System Using Artificial Intelligence for Hip Fractures -Multi-Institutional Joint Development Research-—0
Learned Spectral Computed Tomography—0
An Overview and Case Study of the Clinical AI Model Development Life Cycle for Healthcare Systems—0
Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia—0
Visualization of fully connected layer weights in deep learning CT reconstruction—0
Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention—0
Generative-based Airway and Vessel Morphology Quantification on Chest CT Images—0
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography VolumesCode1
A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images—0
2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small dataCode0
Outlier Guided Optimization of Abdominal Segmentation—0
Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives—0
A Deep Learning Approach to Automate High-Resolution Blood Vessel Reconstruction on Computerized Tomography Images With or Without the Use of Contrast Agent—0
Multimodal fusion of imaging and genomics for lung cancer recurrence predictionCode1
Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks—0
3D Aggregated Faster R-CNN for General Lesion Detection—0
Physics-Based Iterative Reconstruction for Dual Source and Flying Focal Spot Computed Tomography—0
Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation—0
An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical ImagesCode1
A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography VolumesCode2
AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets—0
Deep Transfer Convolutional Neural Network and Extreme Learning Machine for Lung Nodule Diagnosis on CT imagesCode1
COPD Classification in CT Images Using a 3D Convolutional Neural Network—0
Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography—0
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