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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 76–100 of 1207 papers

TitleStatusHype
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT DenoisingCode1
Explaining 3D Computed Tomography Classifiers with CounterfactualsCode1
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT ScansCode1
DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-RaysCode1
Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CTCode1
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trialCode1
AutoPET Challenge 2023: Sliding Window-based Optimization of U-NetCode1
A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner DataCode1
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT ImagingCode1
Body Part Regression for CT ImagesCode1
Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension PerspectiveCode1
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral TomographyCode1
From Pixel to Cancer: Cellular Automata in Computed TomographyCode1
AI Opportunistic Coronary Calcium Screening at Veterans Affairs HospitalsCode1
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
Comp2Comp: Open-Source Body Composition Assessment on Computed TomographyCode1
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaINCode1
Gradient-Based Geometry Learning for Fan-Beam CT ReconstructionCode1
Critical Evaluation of Deep Neural Networks for Wrist Fracture DetectionCode1
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CTCode1
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray ImagesCode1
InDuDoNet+: A Deep Unfolding Dual Domain Network for Metal Artifact Reduction in CT ImagesCode1
A Lung Nodule Dataset with Histopathology-based Cancer Type AnnotationCode1
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image DenoisingCode1
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