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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 1101–1110 of 1207 papers

TitleStatusHype
Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNITCode0
Fast CapsNet for Lung Cancer ScreeningCode0
Endoscopic navigation in the absence of CT imaging—0
PatchFCN for Intracranial Hemorrhage Detection—0
An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy ClassificationCode0
Capturing Variabilities from Computed Tomography Images with Generative Adversarial Networks—0
DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule DetectionCode0
Pulmonary Artery–Vein Classification in CT Images Using Deep Learning—0
Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising—0
Extracting Lungs from CT Images using Fully Convolutional Networks—0
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