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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 1101–1125 of 1207 papers

TitleStatusHype
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images—0
DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding—0
Deciphering scrolls with tomography: A training experiment—0
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images—0
Deep Boosted Regression for MR to CT Synthesis—0
Deep Clustering Activation Maps for Emphysema Subtyping—0
Deep convolutional networks for pancreas segmentation in CT imaging—0
Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image—0
Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data—0
Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer—0
Deep Inertia L_p Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction—0
Deep learning and its application to medical image segmentation—0
Deep Learning Approach for Early Stage Lung Cancer Detection—0
Deep Learning-based Assessment of Hepatic Steatosis on chest CT—0
Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study—0
Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT—0
Deep-learning-based Breast CT for Radiation Dose Reduction—0
Deep Learning Based Computed Tomography Whys and Wherefores—0
Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizability—0
Deep Learning based detection of Acute Aortic Syndrome in contrast CT images—0
Deep learning based dictionary learning and tomographic image reconstruction—0
Deep learning based low-dose synchrotron radiation CT reconstruction—0
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation—0
Deep Learning based Spectral CT Imaging—0
Deep Learning CT Image Restoration using System Blur and Noise Models—0
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