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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 1141–1150 of 1207 papers

TitleStatusHype
Deep Representation Learning of Tissue Metabolome and Computed Tomography Images Annotates Non-invasive Classification and Prognosis Prediction of NSCLC—0
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis—0
Deep Sequential Learning for Cervical Spine Fracture Detection on Computed Tomography Imaging—0
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images—0
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search—0
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density—0
Deep Variational Networks with Exponential Weighting for Learning Computed Tomography—0
Delving Deep into Liver Focal Lesion Detection: A Preliminary Study—0
Design of Novel Loss Functions for Deep Learning in X-ray CT—0
Detecting COVID-19 from Chest Computed Tomography Scans using AI-Driven Android Application—0
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