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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 921–930 of 1207 papers

TitleStatusHype
Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with Cone-Beam Computed Tomography (CBCT) to Computed Tomography (CT) image conversion—0
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism—0
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios—0
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images—0
A Natural Language Processing Pipeline of Chinese Free-text Radiology Reports for Liver Cancer Diagnosis—0
Capsules for Biomedical Image Segmentation—0
Pyramid Focusing Network for mutation prediction and classification in CT images—0
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19Code0
Deep Learning based detection of Acute Aortic Syndrome in contrast CT images—0
STAN-CT: Standardizing CT Image using Generative Adversarial NetworkCode0
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