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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 476–500 of 1207 papers

TitleStatusHype
Analysis of displacement compensation methods for wavelet lifting of medical 3-D thorax CT volume data—0
Detecting COVID-19 from Chest Computed Tomography Scans using AI-Driven Android Application—0
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia—0
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window—0
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction—0
Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography—0
Design of Novel Loss Functions for Deep Learning in X-ray CT—0
DuoLift-GAN:Reconstructing CT from Single-view and Biplanar X-Rays with Generative Adversarial Networks—0
Dynamic Angle Selection in X-Ray CT: A Reinforcement Learning Approach to Optimal Stopping—0
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation—0
Early Experiences with Crowdsourcing Airway Annotations in Chest CT—0
A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis—0
Delving Deep into Liver Focal Lesion Detection: A Preliminary Study—0
Effect of Input Size on the Classification of Lung Nodules Using Convolutional Neural Networks—0
Deep Variational Networks with Exponential Weighting for Learning Computed Tomography—0
Efficient liver segmentation with 3D CNN using computed tomography scans—0
Efficient Low Dose X-ray CT Reconstruction through Sparsity-Based MAP Modeling—0
AVP-AP: Self-supervised Automatic View Positioning in 3D cardiac CT via Atlas Prompting—0
Efficient Pretraining Model based on Multi-Scale Local Visual Field Feature Reconstruction for PCB CT Image Element Segmentation—0
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density—0
Effort-free Automated Skeletal Abnormality Detection of Rat Fetuses on Whole-body Micro-CT Scans—0
Autoregressive Sequence Modeling for 3D Medical Image Representation—0
Empowering Medical Imaging with Artificial Intelligence: A Review of Machine Learning Approaches for the Detection, and Segmentation of COVID-19 Using Radiographic and Tomographic Images—0
A multiscale model of vascular function in chronic thromboembolic pulmonary hypertension—0
Adapting SAM for Volumetric X-Ray Data-sets of Arbitrary Sizes—0
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