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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 261–270 of 1207 papers

TitleStatusHype
Novel coronavirus pneumonia lesion segmentation in CT images—0
Automatic segmentation of kidney and liver tumors in CT images—0
Active CT Reconstruction with a Learned Sampling Policy—0
Automatic segmentation and determining radiodensity of the liver in a large-scale CT database—0
Automatic Registration between Cone-Beam CT and Scanned Surface via Deep-Pose Regression Neural Networks and Clustered Similarities—0
A Lightweight Structure Aimed to Utilize Spatial Correlation for Sparse-View CT Reconstruction—0
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT—0
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection—0
A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction—0
A CT-based deep learning system for automatic assessment of aortic root morphology for TAVI planning—0
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