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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 831–840 of 1207 papers

TitleStatusHype
Interactive segmentation of medical images through fully convolutional neural networks—0
Interpolation of CT Projections by Exploiting Their Self-Similarity and Smoothness—0
Interpretable 3D Multi-Modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis—0
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images—0
Interpretable Auto Window Setting for Deep-Learning-Based CT Analysis—0
Interpretable Geoscience Artificial Intelligence (XGeoS-AI): Application to Demystify Image Recognition—0
Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation—0
Intracranial Hemorrhage Detection Using Neural Network Based Methods With Federated Learning—0
Introduction of Medical Imaging Modalities—0
Ischemic Stroke Lesion Segmentation Using Adversarial Learning—0
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