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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 951–960 of 1207 papers

TitleStatusHype
AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets—0
Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images—0
Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms—0
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases—0
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT—0
Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification—0
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images—0
AutoCT: Automated CT registration, segmentation, and quantification—0
Auto-Lesion Segmentation with a Novel Intensity Dark Channel Prior for COVID-19 Detection—0
Automated 3D cephalometric landmark identification using computerized tomography—0
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