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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
Liver lesion segmentation informed by joint liver segmentation—0
Liver Segmentation from Multimodal Images using HED-Mask R-CNN—0
Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention—0
Liver Tumor Prediction with Advanced Attention Mechanisms Integrated into a Depth-Based Variant Search Algorithm—0
Local block-wise self attention for normal organ segmentation—0
Local Models for Scatter Estimation and Descattering in Polyenergetic X-Ray Tomography—0
Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation—0
Loop Unrolled Shallow Equilibrium Regularizer (LUSER) -- A Memory-Efficient Inverse Problem Solver—0
Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion—0
Low-Dose CT Image Enhancement Using Deep Learning—0
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