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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 401–410 of 1207 papers

TitleStatusHype
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images—0
Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification—0
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images—0
Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging—0
Deep-neural-network based sinogram synthesis for sparse-view CT image reconstruction—0
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation—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
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review—0
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction—0
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