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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 326–350 of 1207 papers

TitleStatusHype
Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography—0
Crowdsourcing Lung Nodules Detection and Annotation—0
A hierarchical approach to deep learning and its application to tomographic reconstruction—0
Cross-Vendor CT Image Data Harmonization Using CVH-CT—0
Automated 3D cephalometric landmark identification using computerized tomography—0
CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering—0
CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes—0
Advancing Ischemic Stroke Diagnosis: A Novel Two-Stage Approach for Blood Clot Origin Identification—0
CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models—0
Deep Learning Based Computed Tomography Whys and Wherefores—0
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement—0
CT Image Harmonization for Enhancing Radiomics Studies—0
CT-image Super Resolution Using 3D Convolutional Neural Network—0
Deep Learning based detection of Acute Aortic Syndrome in contrast CT images—0
CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)—0
CT Super Resolution via Zero Shot Learning—0
Automated femur segmentation from computed tomography images using a deep neural network—0
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT—0
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation—0
Automated neuroradiological support systems for multiple cerebrovascular disease markers -- A systematic review and meta-analysis—0
Cycle-free CycleGAN using Invertible Generator for Unsupervised Low-Dose CT Denoising—0
Cylindrical Transform: 3D Semantic Segmentation of Kidneys With Limited Annotated Images—0
Auto-Lesion Segmentation with a Novel Intensity Dark Channel Prior for COVID-19 Detection—0
Cross-Modal Domain Adaptation in Brain Disease Diagnosis: Maximum Mean Discrepancy-based Convolutional Neural Networks—0
Cross-domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Low-dose Cardiac SPECT—0
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