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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 541–550 of 1207 papers

TitleStatusHype
Deep Learning Models for Classification of COVID-19 Cases by Medical Images—0
Automatic Registration between Cone-Beam CT and Scanned Surface via Deep-Pose Regression Neural Networks and Clustered Similarities—0
A Lightweight Structure Aimed to Utilize Spatial Correlation for Sparse-View CT Reconstruction—0
Active CT Reconstruction with a Learned Sampling Policy—0
Fully Automated Deep Learning-enabled Detection for Hepatic Steatosis on Computed Tomography: A Multicenter International Validation Study—0
Deep learning for cardiac image segmentation: A review—0
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection—0
Deep-Learning Driven Noise Reduction for Reduced Flux Computed Tomography—0
Deep Learning CT Image Restoration using System Blur and Noise Models—0
A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction—0
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