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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 951–1000 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
Automatic 3D liver location and segmentation via convolutional neural networks and graph cut—0
Automatic Airway Segmentation in chest CT using Convolutional Neural Networks—0
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning—0
Automatic Intracranial Brain Segmentation from Computed Tomography Head Images—0
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration—0
Automatic Left Ventricular Cavity Segmentation via Deep Spatial Sequential Network in 4D Computed Tomography Studies—0
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury—0
Automatic Localization of Deep Stimulation Electrodes Using Trajectory-based Segmentation Approach—0
Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net—0
Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach—0
Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge—0
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection—0
Automatic Registration between Cone-Beam CT and Scanned Surface via Deep-Pose Regression Neural Networks and Clustered Similarities—0
Automatic segmentation and determining radiodensity of the liver in a large-scale CT database—0
Automatic segmentation of kidney and liver tumors in CT images—0
Novel coronavirus pneumonia lesion segmentation in CT images—0
Automatic Segmentation of the Kidneys and Cystic Renal Lesions on Non-Contrast CT Using a Convolutional Neural Network—0
Automatic Spine Segmentation using Convolutional Neural Network via Redundant Generation of Class Labels for 3D Spine Modeling—0
Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study—0
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble—0
AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction—0
Autoregressive Sequence Modeling for 3D Medical Image Representation—0
AVP-AP: Self-supervised Automatic View Positioning in 3D cardiac CT via Atlas Prompting—0
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation—0
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization—0
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