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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 831–840 of 1207 papers

TitleStatusHype
Deep Learning based Spectral CT Imaging—0
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical ImagingCode1
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans—0
Multi-modal segmentation of 3D brain scans using neural networks—0
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams—0
A model-guided deep network for limited-angle computed tomographyCode0
Learned convex regularizers for inverse problemsCode1
Stabilizing Deep Tomographic Reconstruction—0
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
Classification of Multiple Diseases on Body CT Scans using Weakly Supervised Deep LearningCode1
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