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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 276–300 of 1207 papers

TitleStatusHype
CT Image Harmonization for Enhancing Radiomics Studies—0
Cylindrical Transform: 3D Semantic Segmentation of Kidneys With Limited Annotated Images—0
Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net—0
Automatic Localization of Deep Stimulation Electrodes Using Trajectory-based Segmentation Approach—0
A lateral semicircular canal segmentation based geometric calibration for human temporal bone CT Image—0
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury—0
Automatic Left Ventricular Cavity Segmentation via Deep Spatial Sequential Network in 4D Computed Tomography Studies—0
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image—0
4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis—0
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration—0
Automatic Intracranial Brain Segmentation from Computed Tomography Head Images—0
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior—0
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning—0
Automatic Airway Segmentation in chest CT using Convolutional Neural Networks—0
A convergence proof of the split Bregman method for regularized least-squares problems—0
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation—0
Cross-Vendor CT Image Data Harmonization Using CVH-CT—0
Automatic 3D liver location and segmentation via convolutional neural networks and graph cut—0
Automated Tumor Segmentation and Brain Mapping for the Tumor Area—0
AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening—0
Automated triage of COVID-19 from various lung abnormalities using chest CT features—0
Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction—0
A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT—0
AI generated annotations for Breast, Brain, Liver, Lungs and Prostate cancer collections in National Cancer Institute Imaging Data Commons—0
Automated segmentation of 3-D body composition on computed tomography—0
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