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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 901–925 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
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