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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 981–990 of 1207 papers

TitleStatusHype
Deep-learning-based Breast CT for Radiation Dose Reduction—0
Optimal Transport driven CycleGAN for Unsupervised Learning in Inverse Problems—0
Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks—0
Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories—0
Z-Net: an Anisotropic 3D DCNN for Medical CT Volume Segmentation—0
Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT ImagesCode0
Tapering Analysis of Airways with BronchiectasisCode1
Local block-wise self attention for normal organ segmentation—0
MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion DetectionCode0
Machine learning for automatic construction of pseudo-realistic pediatric abdominal phantoms—0
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