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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 541–550 of 1207 papers

TitleStatusHype
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty AlignmentCode0
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation—0
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image—0
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations—0
CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19—0
Optimizing CT Scan Geometries With and Without Gradients—0
Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography—0
Detection and Segmentation of Pancreas using Morphological Snakes and Deep Convolutional Neural Networks—0
A CT-based deep learning system for automatic assessment of aortic root morphology for TAVI planning—0
Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models—0
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