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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 1151–1160 of 1207 papers

TitleStatusHype
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules—0
Topic Modeling for Classification of Clinical Reports—0
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks—0
Automatic Localization of Deep Stimulation Electrodes Using Trajectory-based Segmentation Approach—0
Early Experiences with Crowdsourcing Airway Annotations in Chest CT—0
Volume Calculation of CT lung Lesions based on Halton Low-discrepancy Sequences—0
Compression Fractures Detection on CT—0
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising—0
PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image ReconstructionCode0
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes—0
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