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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 581–590 of 1207 papers

TitleStatusHype
Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer—0
Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data—0
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning—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
A convergence proof of the split Bregman method for regularized least-squares problems—0
4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis—0
Deep convolutional networks for pancreas segmentation in CT imaging—0
Automatic 3D liver location and segmentation via convolutional neural networks and graph cut—0
Deep Clustering Activation Maps for Emphysema Subtyping—0
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