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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 851–860 of 1207 papers

TitleStatusHype
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT ImagingCode1
Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee—0
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning—0
Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 PatientsCode1
Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN—0
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration—0
SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss NetworkCode1
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer LearningCode1
A lateral semicircular canal segmentation based geometric calibration for human temporal bone CT Image—0
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning—0
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