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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 1071–1080 of 1207 papers

TitleStatusHype
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study—0
Cov3d: Detection of the presence and severity of COVID-19 from CT scans using 3D ResNets—0
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution—0
Covid-19 classification with deep neural network and belief functions—0
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network—0
COVID-19 Detection in Computed Tomography Images with 2D and 3D Approaches—0
COVID-19 Detection Using Slices Processing Techniques and a Modified Xception Classifier from Computed Tomography Images—0
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios—0
COVID-CLNet: COVID-19 Detection with Compressive Deep Learning Approaches—0
COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network—0
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