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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 1161–1170 of 1207 papers

TitleStatusHype
Multi-Scale Wavelet Domain Residual Learning for Limited-Angle CT Reconstruction—0
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MRCode0
Multi-scale Image Fusion Between Pre-operative Clinical CT and X-ray Microtomography of Lung Pathology—0
Robust and fully automated segmentation of mandible from CT scans—0
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation—0
Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling—0
Transfer learning for multi-center classification of chronic obstructive pulmonary disease—0
Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction—0
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge—0
Medical Image Synthesis with Context-Aware Generative Adversarial Networks—0
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