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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 251–275 of 1207 papers

TitleStatusHype
Event-based clinical findings extraction from radiology reports with pre-trained language modelCode0
Perfusion Imaging: A Data Assimilation ApproachCode0
Clearing noisy annotations for computed tomography imagingCode0
Physics-informed Score-based Diffusion Model for Limited-angle Reconstruction of Cardiac Computed TomographyCode0
3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomographyCode0
Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology ImagesCode0
SmoothSegNet: A Global-Local Framework for Liver Tumor Segmentation with Clinical KnowledgeInformed Label SmoothingCode0
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networksCode0
Evaluating Adversarial Robustness of Low dose CT RecoveryCode0
Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End RegistrationCode0
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or NetworkCode0
Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT ImagesCode0
Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT ClassificationCode0
DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT ReconstructionCode0
End-to-end reconstruction meets data-driven regularization for inverse problemsCode0
DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT ImagesCode0
Enhancing COVID-19 Severity Analysis through Ensemble MethodsCode0
False Positive Reduction in Lung Computed Tomography Images using Convolutional Neural NetworksCode0
Differentiable probabilistic models of scientific imaging with the Fourier slice theoremCode0
Diagnostic Classification Of Lung Nodules Using 3D Neural NetworksCode0
Detection-aided liver lesion segmentation using deep learningCode0
3D Solid Spherical Bispectrum CNNs for Biomedical Texture AnalysisCode0
Detection of Body Packs in Abdominal CT scans Through Artificial IntelligenceCode0
D-Net: Siamese based Network with Mutual Attention for Volume AlignmentCode0
Demographic Predictability in 3D CT Foundation EmbeddingsCode0
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