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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 871–880 of 1207 papers

TitleStatusHype
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patientsCode1
Unsupervised Sparse-view Backprojection via Convolutional and Spatial Transformer Networks—0
Limited-angle CT reconstruction via the L1/L2 minimization—0
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction—0
Probabilistic self-learning framework for Low-dose CT Denoising—0
Human Recognition Using Face in Computed Tomography—0
Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT—0
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation—0
Keypoints Localization for Joint Vertebra Detection and Fracture Severity QuantificationCode1
Multi-view polarimetric scattering cloud tomography and retrieval of droplet size—0
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