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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 341–350 of 1207 papers

TitleStatusHype
Limited-Angle Tomography Reconstruction via Deep End-To-End Learning on Synthetic DataCode0
A Localization-to-Segmentation Framework for Automatic Tumor Segmentation in Whole-Body PET/CT ImagesCode0
SdCT-GAN: Reconstructing CT from Biplanar X-Rays with Self-driven Generative Adversarial NetworksCode1
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports—0
User lung cancer classification using efficientnet from ct scan images—0
Multi-stage Deep Learning Artifact Reduction for Pallel-beam Computed Tomography—0
Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual DomainsCode1
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases—0
High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network Approach—0
PECon: Contrastive Pretraining to Enhance Feature Alignment between CT and EHR Data for Improved Pulmonary Embolism DiagnosisCode0
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