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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 826–850 of 1207 papers

TitleStatusHype
Multi-Channel Potts-Based Reconstruction for Multi-Spectral Computed Tomography—0
PiaNet: A pyramid input augmented convolutional neural network for GGO detection in 3D lung CT scans—0
COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network—0
Perfusion Imaging: A Data Assimilation ApproachCode0
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images—0
Deep Learning based Spectral CT Imaging—0
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical ImagingCode1
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans—0
Multi-modal segmentation of 3D brain scans using neural networks—0
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams—0
A model-guided deep network for limited-angle computed tomographyCode0
Learned convex regularizers for inverse problemsCode1
Stabilizing Deep Tomographic Reconstruction—0
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
Classification of Multiple Diseases on Body CT Scans using Weakly Supervised Deep LearningCode1
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network—0
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images—0
Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision—0
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 DiagnosisCode1
COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-NetCode0
CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography imagesCode0
Integrative Analysis for COVID-19 Patient Outcome PredictionCode1
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review—0
U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images—0
Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search—0
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