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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 1041–1050 of 1207 papers

TitleStatusHype
Automatic Pulmonary Lobe Segmentation Using Deep LearningCode0
Automated pulmonary nodule detection using 3D deep convolutional neural networks—0
An End-to-end Framework For Integrated Pulmonary Nodule Detection and False Positive Reduction—0
Disentangled Representation Learning in Cardiac Image AnalysisCode1
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction—0
Interactive segmentation of medical images through fully convolutional neural networks—0
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury—0
Lung CT Imaging Sign Classification through Deep Learning on Small Data—0
Detecting Lesion Bounding Ellipses With Gaussian Proposal NetworksCode0
Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics—0
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