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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 621–630 of 1207 papers

TitleStatusHype
Classical and learned MR to pseudo-CT mappings for accurate transcranial ultrasound simulation—0
Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs—0
3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomographyCode0
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation—0
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window—0
Recursive Deformable Image Registration Network with Mutual Attention—0
R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation—0
PhD Thesis. Computer-Aided Assessment of Tuberculosis with Radiological Imaging: From rule-based methods to Deep Learning—0
Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity—0
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image—0
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