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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 1141–1150 of 1207 papers

TitleStatusHype
RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans—0
An automatic deep learning approach for coronary artery calcium segmentation—0
Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image—0
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction—0
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CTCode0
Employing Weak Annotations for Medical Image Analysis Problems—0
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs)Code0
Liver lesion segmentation informed by joint liver segmentation—0
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis—0
Low Dose CT Image Reconstruction With Learned Sparsifying Transform—0
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