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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 1021–1030 of 1207 papers

TitleStatusHype
Artifact Disentanglement Network for Unsupervised Metal Artifact ReductionCode0
Lung cancer screening with low-dose CT scans using a deep learning approach—0
PHT-bot: Deep-Learning based system for automatic risk stratification of COPD patients based upon signs of Pulmonary Hypertension—0
Dual-branch residual network for lung nodule segmentation—0
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT—0
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial NetworksCode0
A Cone-Beam X-Ray CT Data Collection designed for Machine LearningCode0
Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection—0
DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT—0
Lung Nodule Classification using Deep Local-Global NetworksCode0
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