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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 951–960 of 1207 papers

TitleStatusHype
Synthetic vascular structure generation for unsupervised pre-training in CTA segmentation tasks—0
Stagnant zone segmentation with U-net—0
Automatic segmentation and determining radiodensity of the liver in a large-scale CT database—0
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database—0
Low radiation tomographic reconstruction with and without template information—0
A hierarchical approach to deep learning and its application to tomographic reconstruction—0
Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction—0
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image SegmentationCode1
Sparse and redundant signal representations for x-ray computed tomography—0
Stochastic tissue window normalization of deep learning on computed tomography—0
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