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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 951–975 of 1207 papers

TitleStatusHype
AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets—0
Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images—0
Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms—0
Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases—0
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT—0
Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification—0
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images—0
AutoCT: Automated CT registration, segmentation, and quantification—0
Auto-Lesion Segmentation with a Novel Intensity Dark Channel Prior for COVID-19 Detection—0
Automated 3D cephalometric landmark identification using computerized tomography—0
Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography—0
Automated airway segmentation by learning graphical structure—0
Advancing Ischemic Stroke Diagnosis: A Novel Two-Stage Approach for Blood Clot Origin Identification—0
Automated COVID-19 CT Image Classification using Multi-head Channel Attention in Deep CNN—0
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review—0
Automated femur segmentation from computed tomography images using a deep neural network—0
Automated Methods for Detection and Classification Pneumonia based on X-Ray Images Using Deep Learning—0
Automated neuroradiological support systems for multiple cerebrovascular disease markers -- A systematic review and meta-analysis—0
Automated processing of X-ray computed tomography images via panoptic segmentation for modeling woven composite textiles—0
Automated pulmonary nodule detection using 3D deep convolutional neural networks—0
Automated recognition of the pericardium contour on processed CT images using genetic algorithms—0
Automated segmentation of 3-D body composition on computed tomography—0
Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction—0
Automated triage of COVID-19 from various lung abnormalities using chest CT features—0
Automated Tumor Segmentation and Brain Mapping for the Tumor Area—0
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