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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
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
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