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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 471–480 of 1207 papers

TitleStatusHype
Dual-branch residual network for lung nodule segmentation—0
Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms—0
COVID-CLNet: COVID-19 Detection with Compressive Deep Learning Approaches—0
Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction—0
Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images—0
Aging prediction using deep generative model toward the development of preventive medicine—0
Dual Network Architecture for Few-view CT -- Trained on ImageNet Data and Transferred for Medical Imaging—0
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia—0
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window—0
Empowering Medical Imaging with Artificial Intelligence: A Review of Machine Learning Approaches for the Detection, and Segmentation of COVID-19 Using Radiographic and Tomographic Images—0
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