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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 501–525 of 1207 papers

TitleStatusHype
End-to-End Abnormality Detection in Medical Imaging—0
End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT—0
End-to-end Lung Nodule Detection in Computed Tomography—0
Classification of lung cancer subtypes on CT images with synthetic pathological priors—0
Precise phase retrieval for propagation-based images using discrete mathematics—0
Enhanced Synthetic MRI Generation from CT Scans Using CycleGAN with Feature Extraction—0
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning—0
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans—0
Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning—0
Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT—0
COVID-19 Detection Using Slices Processing Techniques and a Modified Xception Classifier from Computed Tomography Images—0
3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19—0
Fast X-ray CT image reconstruction using the linearized augmented Lagrangian method with ordered subsets—0
COVID-19 Detection in Computed Tomography Images with 2D and 3D Approaches—0
Fast Segmentation of Left Ventricle in CT Images by Explicit Shape Regression using Random Pixel Difference Features—0
FCDM: A Physics-Guided Bidirectional Frequency Aware Convolution and Diffusion-Based Model for Sinogram Inpainting—0
Finding and Following of Honeycombing Regions in Computed Tomography Lung Images by Deep Learning—0
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network—0
A Teacher-Student Framework with Fourier Augmentation for COVID-19 Infection Segmentation in CT Images—0
Covid-19 classification with deep neural network and belief functions—0
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution—0
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes—0
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution—0
Cov3d: Detection of the presence and severity of COVID-19 from CT scans using 3D ResNets—0
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study—0
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