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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 561–570 of 1207 papers

TitleStatusHype
Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks—0
Deep Learning based detection of Acute Aortic Syndrome in contrast CT images—0
Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizability—0
Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net—0
Deep Learning Based Computed Tomography Whys and Wherefores—0
Deep-learning-based Breast CT for Radiation Dose Reduction—0
Automatic Localization of Deep Stimulation Electrodes Using Trajectory-based Segmentation Approach—0
A lateral semicircular canal segmentation based geometric calibration for human temporal bone CT Image—0
Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT—0
Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study—0
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