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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 1131–1140 of 1207 papers

TitleStatusHype
Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning—0
Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia—0
Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set—0
Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation—0
Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk—0
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images—0
Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging—0
Deep-neural-network based sinogram synthesis for sparse-view CT image reconstruction—0
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation—0
Deep Radon Prior: A Fully Unsupervised Framework for Sparse-View CT Reconstruction—0
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