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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 801–810 of 1207 papers

TitleStatusHype
Highly accurate model for prediction of lung nodule malignancy with CT scans—0
High-quality Low-dose CT Reconstruction Using Convolutional Neural Networks with Spatial and Channel Squeeze and Excitation—0
High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network Approach—0
Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling—0
Holographic Visualisation of Radiology Data and Automated Machine Learning-based Medical Image Segmentation—0
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?—0
HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation—0
Human Recognition Using Face in Computed Tomography—0
Human Treelike Tubular Structure Segmentation: A Comprehensive Review and Future Perspectives—0
Hybrid deep convolution model for lung cancer detection with transfer learning—0
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