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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 361–370 of 1207 papers

TitleStatusHype
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images—0
A Graphical Approach For Brain Haemorrhage Segmentation—0
Deep Boosted Regression for MR to CT Synthesis—0
Deep Clustering Activation Maps for Emphysema Subtyping—0
Automatic 3D liver location and segmentation via convolutional neural networks and graph cut—0
Deep convolutional networks for pancreas segmentation in CT imaging—0
Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image—0
Automatic Airway Segmentation in chest CT using Convolutional Neural Networks—0
Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data—0
Cross-dataset domain adaptation for the classification COVID-19 using chest computed tomography images—0
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