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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 376–400 of 1207 papers

TitleStatusHype
Automatic Left Ventricular Cavity Segmentation via Deep Spatial Sequential Network in 4D Computed Tomography Studies—0
Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study—0
Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT—0
Deep-learning-based Breast CT for Radiation Dose Reduction—0
Deep Learning Based Computed Tomography Whys and Wherefores—0
Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizability—0
Deep Learning based detection of Acute Aortic Syndrome in contrast CT images—0
Cross-dataset domain adaptation for the classification COVID-19 using chest computed tomography images—0
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images—0
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation—0
Deep Learning based Spectral CT Imaging—0
Deep Learning CT Image Restoration using System Blur and Noise Models—0
Deep-Learning Driven Noise Reduction for Reduced Flux Computed Tomography—0
Deep learning for cardiac image segmentation: A review—0
Fully Automated Deep Learning-enabled Detection for Hepatic Steatosis on Computed Tomography: A Multicenter International Validation Study—0
Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification—0
Deep Learning Models for Classification of COVID-19 Cases by Medical Images—0
Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner—0
Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning—0
Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia—0
Automatic segmentation of kidney and liver tumors in CT images—0
Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set—0
Novel coronavirus pneumonia lesion segmentation in CT images—0
A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images—0
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks—0
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