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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 1181–1190 of 1207 papers

TitleStatusHype
Automatic 3D liver location and segmentation via convolutional neural networks and graph cut—0
Improving Vertebra Segmentation through Joint Vertebra-Rib Atlases—0
Susceptibility of texture measures to noise: an application to lung tumor CT images—0
Assessment of texture measures susceptibility to noise in conventional and contrast enhanced computed tomography lung tumour images—0
Context Driven Label Fusion for segmentation of Subcutaneous and Visceral Fat in CT Volumes—0
Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction—0
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?—0
Semi-Automatic Segmentation of Autosomal Dominant Polycystic Kidneys using Random Forests—0
Direct high-order edge-preserving regularization for tomographic image reconstruction—0
Fast Segmentation of Left Ventricle in CT Images by Explicit Shape Regression using Random Pixel Difference Features—0
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