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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 361–370 of 1207 papers

TitleStatusHype
Improving image quality of sparse-view lung tumor CT images with U-NetCode0
Development of pericardial fat count images using a combination of three different deep-learning models—0
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT DenoisingCode1
Fast and Stable Diffusion Inverse Solver with History Gradient Update—0
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient NetworkCode1
Neural Modulation Fields for Conditional Cone Beam Neural Tomography—0
Sequential Experimental Design for X-Ray CT Using Deep Reinforcement LearningCode0
FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT ReconstructionCode1
StyleGAN2-based Out-of-Distribution Detection for Medical Imaging—0
Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images—0
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