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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 701–710 of 1207 papers

TitleStatusHype
Segmentation Criteria in the Problem of Porosity Determination based on CT Scans—0
Segmentation of Aortic Vessel Tree in CT Scans with Deep Fully Convolutional Networks—0
Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images—0
Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis—0
Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning—0
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis—0
Self-Supervised Denoiser Framework—0
Self-Supervised Learning for Biological Sample Localization in 3D Tomographic Images—0
Self-Supervised Learning for Segmentation—0
Self-supervised Learning from 100 Million Medical Images—0
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