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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 861–870 of 1207 papers

TitleStatusHype
Ricci Curvature Based Volumetric Segmentation of the Auditory Ossicles—0
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation—0
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network—0
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss—0
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literatureCode1
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images—0
Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set—0
Structurally aware bidirectional unpaired image to image translation between CT and MR—0
Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging—0
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trialCode1
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