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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 861–870 of 1207 papers

TitleStatusHype
PiaNet: A pyramid input augmented convolutional neural network for GGO detection in 3D lung CT scans—0
COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network—0
Perfusion Imaging: A Data Assimilation ApproachCode0
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images—0
Deep Learning based Spectral CT Imaging—0
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans—0
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams—0
Multi-modal segmentation of 3D brain scans using neural networks—0
A model-guided deep network for limited-angle computed tomographyCode0
Stabilizing Deep Tomographic Reconstruction—0
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