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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 411–420 of 1207 papers

TitleStatusHype
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble—0
Deep Sequential Learning for Cervical Spine Fracture Detection on Computed Tomography Imaging—0
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images—0
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search—0
Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction—0
COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans—0
Deep Variational Networks with Exponential Weighting for Learning Computed Tomography—0
Delving Deep into Liver Focal Lesion Detection: A Preliminary Study—0
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation—0
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT—0
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