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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 571–580 of 1207 papers

TitleStatusHype
Fused Deep Convolutional Neural Network for Precision Diagnosis of COVID-19 Using Chest X-Ray Images—0
Fusing Medical Image Features and Clinical Features with Deep Learning for Computer-Aided Diagnosis—0
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images—0
GAN-based disentanglement learning for chest X-ray rib suppression—0
Labelling Vertebrae with 2D Reformations of Multidetector CT Images: An Adversarial Approach for Incorporating Prior Knowledge of Spine Anatomy—0
Gated-Dilated Networks for Lung Nodule Classification in CT scans—0
Graph data modelling for outcome prediction in oropharyngeal cancer patients—0
HaN-Seg: The head and neck organ-at-risk CT and MR segmentation dataset—0
Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography—0
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images—0
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