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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 901–950 of 1207 papers

TitleStatusHype
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo—0
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia—0
AI generated annotations for Breast, Brain, Liver, Lungs and Prostate cancer collections in National Cancer Institute Imaging Data Commons—0
AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening—0
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior—0
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image—0
A lateral semicircular canal segmentation based geometric calibration for human temporal bone CT Image—0
Algorithm-driven Advances for Scientific CT Instruments: From Model-based to Deep Learning-based Approaches—0
A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction—0
A Lightweight Structure Aimed to Utilize Spatial Correlation for Sparse-View CT Reconstruction—0
Ambient Denoising Diffusion Generative Adversarial Networks for Establishing Stochastic Object Models from Noisy Image Data—0
A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness—0
A multiscale model of vascular function in chronic thromboembolic pulmonary hypertension—0
A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis—0
Analysis of displacement compensation methods for wavelet lifting of medical 3-D thorax CT volume data—0
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening—0
An approximation-based approach versus an AI one for the study of CT images of abdominal aorta aneurysms—0
Anatomical Data Augmentation For CNN based Pixel-wise Classification—0
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks—0
Anatomy-specific classification of medical images using deep convolutional nets—0
A Natural Language Processing Pipeline of Chinese Free-text Radiology Reports for Liver Cancer Diagnosis—0
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease—0
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism—0
An automatic deep learning approach for coronary artery calcium segmentation—0
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports—0
An End-to-end Framework For Integrated Pulmonary Nodule Detection and False Positive Reduction—0
An Ensemble of 2.5D ResUnet Based Models for Segmentation for Kidney and Masses—0
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations—0
A new semi-supervised self-training method for lung cancer prediction—0
A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions—0
A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images—0
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans—0
An Overview and Case Study of the Clinical AI Model Development Life Cycle for Healthcare Systems—0
A patient-specific approach for quantitative and automatic analysis of computed tomography images in lung disease: application to COVID-19 patients—0
A Peer-to-peer Federated Continual Learning Network for Improving CT Imaging from Multiple Institutions—0
Application of Gated Recurrent Units for CT Trajectory Optimization—0
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images—0
Artificial Intelligence in Glioma Imaging: Challenges and Advances—0
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy—0
A Real-World Demonstration of Machine Learning Generalizability: Intracranial Hemorrhage Detection on Head CT—0
Can Generative AI Support Patients' & Caregivers' Informational Needs? Towards Task-Centric Evaluation Of AI Systems—0
Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction Parameters?—0
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images—0
Artificial Intelligence Augmented Medical Imaging Reconstruction in Radiation Therapy—0
A simple and effective approach for body part recognition on CT scans based on projection estimation—0
Assessing Robustness to Noise: Low-Cost Head CT Triage—0
Assessment of texture measures susceptibility to noise in conventional and contrast enhanced computed tomography lung tumour images—0
A statistical method for crack detection in 3D concrete images—0
A Teacher-Student Framework with Fourier Augmentation for COVID-19 Infection Segmentation in CT Images—0
Atrous Residual Interconnected Encoder to Attention Decoder Framework for Vertebrae Segmentation via 3D Volumetric CT Images—0
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