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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 741–750 of 1207 papers

TitleStatusHype
Unified Supervised-Unsupervised (SUPER) Learning for X-ray CT Image Reconstruction—0
Unlocking Robust Segmentation Across All Age Groups via Continual Learning—0
Unlocking the Potential of Early Epochs: Uncertainty-aware CT Metal Artifact Reduction—0
Unsupervised Acute Intracranial Hemorrhage Segmentation with Mixture Models—0
Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection—0
Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN—0
Unsupervised denoising for sparse multi-spectral computed tomography—0
Unsupervised Sparse-view Backprojection via Convolutional and Spatial Transformer Networks—0
UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction—0
User lung cancer classification using efficientnet from ct scan images—0
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