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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 926–950 of 1207 papers

TitleStatusHype
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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