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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 881–890 of 1207 papers

TitleStatusHype
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning—0
Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN—0
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration—0
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning—0
A lateral semicircular canal segmentation based geometric calibration for human temporal bone CT Image—0
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
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images—0
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